This document discusses electrical and electronic measurement. It begins with an outline covering measurement and its significance, methods of measurement, classification of instruments, errors in measurement, accuracy and precision, significant figures, and standards of measurement. Measurement is defined as the process of converting physical parameters to meaningful numbers by comparing an unknown quantity to a standard unit. Instruments are then broadly classified as mechanical, electrical, or electronic. Methods of measurement are direct or indirect, and instruments can be absolute or secondary, deflection or null type, and used for indicating, recording, or controlling. Sources of error in measurement include gross, systematic, and random errors. Accuracy refers to closeness to the true value while precision refers to the closeness of repeated measurements. Significant
This document provides an overview of electrical and electronic measurement. It discusses:
1. Measurement and its significance in engineering processes like design, operation, and maintenance.
2. Methods of measurement including direct and indirect methods. It also defines what constitutes an instrument.
3. Classification of instruments into mechanical, electrical, and electronic types. As well as categories like absolute/secondary, deflection/null, and indicating/recording/controlling.
Improving Long Term Myoelectric Decoding, Using an Adaptive Classifier with L...Sarthak Jain
This document presents a novel adaptive myoelectric decoding algorithm to improve long-term accuracy of prosthetic limb control. The algorithm relies on unsupervised updates to the training set to adapt to both slow and fast changes in myoelectric signals over time. An able-bodied user performed eight wrist movements over 4.5 hours while EMG data was collected. The proposed algorithm maintained decoding accuracy with a decay rate of 0.2 per hour, compared to 3.3 per hour for a non-adaptive classifier, demonstrating its ability to adapt to changes in signals and improve reliability of myoelectric prostheses.
IRJET- Dengue Possibility Forecasting Model using Machine Learning AlgorithmsIRJET Journal
This document proposes a machine learning model to predict dengue fever outbreaks based on weather and environmental data. It uses a Gradient Boosting Regression algorithm and Mean Square Error to build a predictive model from datasets containing weekly dengue case numbers, temperatures, rainfall, and other attributes from multiple countries. The model pre-processes the raw data by imputing missing values, standardizing features, and converting nominal values to numeric ones. It then uses Gradient Boosting Regression with an ensemble technique to make predictions, and Mean Square Error to evaluate model performance by measuring the difference between predicted and actual dengue case numbers. The goal is to develop an early warning system for dengue outbreaks based on predictive analytics of historical epidemiological and climatic data
Mining Frequent Patterns and Associations from the Smart meters using Bayesia...Eswar Publications
In today’s world migration of people from rural areas to urban areas is quite common. Health care services are one of the most challenging aspect that is must require to the people with abnormal health. Advancements in the technologies lead to build the smart homes, which contains various sensor or smart meter devices to automate the process of other electronic device. Additionally these smart meters can be able to capture the daily activities of the patients and also monitor the health conditions of the patients by mining the frequent patterns and
association rules generated from the smart meters. In this work we proposed a model that is able to monitor the activities of the patients in home and can send the daily activities to the corresponding doctor. We can extract the frequent patterns and association rules from the log data and can predict the health conditions of the patients and can give the suggestions according to the prediction. Our work is divided in to three stages. Firstly, we used to record the daily activities of the patient using a specific time period at three regular intervals. Secondly we applied the frequent pattern growth for extracting the association rules from the log file. Finally, we applied k means clustering for the input and applied Bayesian network model to predict the health behavior of the patient and precautions will be given accordingly.
Identification of Disease in Leaves using Genetic Algorithmijtsrd
Plant disease is an impairment of normal state of a plant that interrupts or modifies its vital functions. Many leaf diseases are caused by pathogens. Agriculture is the mains try of the Indian economy. Perception of human eye is not so much stronger so as to observe minute variation in the infected part of leaf. In this paper, we are providing software solution to automatically detect and classify plant leaf diseases. In this we are using image processing techniques to classify diseases and quickly diagnosis can be carried out as per disease. This approach will enhance productivity of crops. It includes image processing techniques starting from image acquisition, preprocessing, testing, and training. K. Beulah Suganthy ""Identification of Disease in Leaves using Genetic Algorithm"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22901.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/22901/identification-of-disease-in-leaves-using-genetic-algorithm/k-beulah-suganthy
This document provides an introduction to instrumentation and measurement. It discusses:
1. The importance of measurement in science, engineering, and daily life. Measurement allows the study of natural phenomena and supports technological advancement.
2. Key concepts in instrumentation including transducers that convert physical quantities to electrical signals, and functional elements like sensing, signal conversion/manipulation, transmission, and display.
3. Performance characteristics of instruments including static characteristics like accuracy, precision, resolution, sensitivity, and errors, and dynamic characteristics related to rapidly changing measurements. Calibration is also discussed.
4. Sources of errors in measurement including gross errors from human mistakes, systematic errors from instruments, environments, and observations, and random errors
This course is electronics based course dealing with measurements and instrumentation designed for students in Physics Electronics, Electrical and Electronics Engineering and allied disciplines. It is a theory course based on the use of electrical and electronics instruments for measurements. The course deals with topics such as Principle of measurements, Errors, Accuracy, Units of measurements and electrical standards, , introduction to the design of electronic equipment’s for temperature, pressure, level, flow measurement, speed etc
This document provides an overview of electrical and electronic measurement. It discusses:
1. Measurement and its significance in engineering processes like design, operation, and maintenance.
2. Methods of measurement including direct and indirect methods. It also defines what constitutes an instrument.
3. Classification of instruments into mechanical, electrical, and electronic types. As well as categories like absolute/secondary, deflection/null, and indicating/recording/controlling.
Improving Long Term Myoelectric Decoding, Using an Adaptive Classifier with L...Sarthak Jain
This document presents a novel adaptive myoelectric decoding algorithm to improve long-term accuracy of prosthetic limb control. The algorithm relies on unsupervised updates to the training set to adapt to both slow and fast changes in myoelectric signals over time. An able-bodied user performed eight wrist movements over 4.5 hours while EMG data was collected. The proposed algorithm maintained decoding accuracy with a decay rate of 0.2 per hour, compared to 3.3 per hour for a non-adaptive classifier, demonstrating its ability to adapt to changes in signals and improve reliability of myoelectric prostheses.
IRJET- Dengue Possibility Forecasting Model using Machine Learning AlgorithmsIRJET Journal
This document proposes a machine learning model to predict dengue fever outbreaks based on weather and environmental data. It uses a Gradient Boosting Regression algorithm and Mean Square Error to build a predictive model from datasets containing weekly dengue case numbers, temperatures, rainfall, and other attributes from multiple countries. The model pre-processes the raw data by imputing missing values, standardizing features, and converting nominal values to numeric ones. It then uses Gradient Boosting Regression with an ensemble technique to make predictions, and Mean Square Error to evaluate model performance by measuring the difference between predicted and actual dengue case numbers. The goal is to develop an early warning system for dengue outbreaks based on predictive analytics of historical epidemiological and climatic data
Mining Frequent Patterns and Associations from the Smart meters using Bayesia...Eswar Publications
In today’s world migration of people from rural areas to urban areas is quite common. Health care services are one of the most challenging aspect that is must require to the people with abnormal health. Advancements in the technologies lead to build the smart homes, which contains various sensor or smart meter devices to automate the process of other electronic device. Additionally these smart meters can be able to capture the daily activities of the patients and also monitor the health conditions of the patients by mining the frequent patterns and
association rules generated from the smart meters. In this work we proposed a model that is able to monitor the activities of the patients in home and can send the daily activities to the corresponding doctor. We can extract the frequent patterns and association rules from the log data and can predict the health conditions of the patients and can give the suggestions according to the prediction. Our work is divided in to three stages. Firstly, we used to record the daily activities of the patient using a specific time period at three regular intervals. Secondly we applied the frequent pattern growth for extracting the association rules from the log file. Finally, we applied k means clustering for the input and applied Bayesian network model to predict the health behavior of the patient and precautions will be given accordingly.
Identification of Disease in Leaves using Genetic Algorithmijtsrd
Plant disease is an impairment of normal state of a plant that interrupts or modifies its vital functions. Many leaf diseases are caused by pathogens. Agriculture is the mains try of the Indian economy. Perception of human eye is not so much stronger so as to observe minute variation in the infected part of leaf. In this paper, we are providing software solution to automatically detect and classify plant leaf diseases. In this we are using image processing techniques to classify diseases and quickly diagnosis can be carried out as per disease. This approach will enhance productivity of crops. It includes image processing techniques starting from image acquisition, preprocessing, testing, and training. K. Beulah Suganthy ""Identification of Disease in Leaves using Genetic Algorithm"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22901.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/22901/identification-of-disease-in-leaves-using-genetic-algorithm/k-beulah-suganthy
This document provides an introduction to instrumentation and measurement. It discusses:
1. The importance of measurement in science, engineering, and daily life. Measurement allows the study of natural phenomena and supports technological advancement.
2. Key concepts in instrumentation including transducers that convert physical quantities to electrical signals, and functional elements like sensing, signal conversion/manipulation, transmission, and display.
3. Performance characteristics of instruments including static characteristics like accuracy, precision, resolution, sensitivity, and errors, and dynamic characteristics related to rapidly changing measurements. Calibration is also discussed.
4. Sources of errors in measurement including gross errors from human mistakes, systematic errors from instruments, environments, and observations, and random errors
This course is electronics based course dealing with measurements and instrumentation designed for students in Physics Electronics, Electrical and Electronics Engineering and allied disciplines. It is a theory course based on the use of electrical and electronics instruments for measurements. The course deals with topics such as Principle of measurements, Errors, Accuracy, Units of measurements and electrical standards, , introduction to the design of electronic equipment’s for temperature, pressure, level, flow measurement, speed etc
Introduction to electrical and electronic measurement system where basics on measurement, units, static and dynamic characteristics of instruments, order of instruments, are discussed in brief. Errors in instrumentation system is discussed. Calibration and traceability of instruments are illustrated.
This document provides an overview of measurement and instrumentation topics. It defines measurement as the act of comparing an unknown quantity to a standard. Instruments are defined as devices used to determine the value of a quantity, while instrumentation refers to using instruments to measure properties in industrial processes. The document discusses types of instruments, including active vs passive, as well as different methods and standards used for measurement. It also covers sources of error in measurement, such as systematic, random, alignment, and parallax errors.
METROLOGY & MEASUREMENT Unit 1 notes (5 files merged)MechRtc
Metrology is the science of measurement. It is concerned with establishing standards of measurement, measuring errors and uncertainties, and ensuring uniformity of measurements. Metrology has applications in industry, commerce, and public health/safety. It functions to maintain standards, train professionals, regulate manufacturers, and conduct research to improve measurement methods and accuracy. Proper measurement requires standards, instruments, trained personnel, and control of environmental factors that could influence results. Sources of error include the measuring system and process itself as well as environmental and loading factors. Accuracy depends on the operator, temperature, measurement method, and instrument deformation.
Ee2201 measurement-and-instrumentation-lecture-notesJayakumar T
This document provides an overview of electrical and electronic instruments. It discusses analog instruments and how they are classified based on the measured quantity, operating current, effects used, and measurement method. The principal of operation of common instruments is described, including magnetic, thermal, and induction effects. Specific instrument types are examined like permanent magnet moving coil meters, moving iron meters, and electrodynamometer meters. The document also covers power measurement instruments like wattmeters and energy meters for single and polyphase systems.
This document provides an overview of the course objectives and content for an experimental stress analysis course. The main objectives are:
1. To understand techniques for measuring displacements, stresses, and strains in structural components using strain gauges, photoelasticity, and non-destructive testing methods.
2. To familiarize students with different types of strain gauges, instrumentation systems for strain gauges, and photoelasticity stress analysis techniques.
3. To cover the basics of mechanical measurements, electrical resistance strain gauges, rosette strain gauges, and analyze experimental data through statistical methods.
The course will examine measurement systems, error analysis, contact and non-contact extensometers, electrical and optical
1. The document discusses measurement systems and instrumentation. It covers topics like order of instruments, instrument classification, units of measurement, standards of measurement, dimensions of measurement, and errors in measurement.
2. Instruments can be classified as mechanical, electrical, or electronic. They can also be categorized as absolute, secondary, digital, or analogue instruments.
3. The seven base SI units are meter, kilogram, second, Kelvin, mole, candela, and ampere. Derived units are formed by combining base units.
4. Standards provide defined relationships to measurement units and are used to calibrate other instruments. Primary standards define measurement units while secondary and working standards are calibrated against primary standards.
This document is a course manual on instrumentation and measurement that contains 7 chapters and 4 tutorials. It discusses fundamentals of measurement including direct and indirect methods, calibration concepts, and types of errors. It also covers time-dependent properties of analog signals such as harmonic signals and periodic signals represented through Fourier series. Methods for determining Fourier coefficients both analytically and through fast Fourier transforms are presented. The document provides an overview of key topics in instrumentation and measurement.
The document defines key terms related to measurement and instrumentation. It discusses measurement concepts including physical quantities, data, information, parameters and measurands. It also describes instrumentation components like transducers, sensors and actuators. Measurement systems involve detection, signal conditioning and readout stages. The document reviews calibration procedures, measurement errors, and static and dynamic instrument characteristics.
This document provides an overview of metrology and measurement concepts. It discusses the introduction to metrology, the need for measurement, components of a generalized measurement system, types of standards, units of measurement, types of measurements/methods of measurement, types of measuring instruments, accuracy vs precision, and factors affecting accuracy and precision. It also defines types of errors in measurement such as gross errors, measurement errors, systematic errors, and random errors.
This document provides an overview of metrology and measurement concepts. It discusses the introduction to metrology, the need for measurement, components of a generalized measurement system, types of standards, units of measurement, types of measurements/methods of measurement, types of measuring instruments, accuracy vs precision, and factors affecting accuracy and precision. It also defines types of errors in measurement such as gross errors, measurement errors, systematic errors, and random errors.
This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.
This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.
1) Metrology is the science of measurement and involves the establishment, reproduction, and transfer of measurement standards. Dimensional metrology deals specifically with measuring the dimensions of parts and workpieces.
2) Inspection is needed to determine true dimensions, convert measurements, ensure design specifications are met, evaluate performance, and ensure interchangeability for mass production. Accuracy refers to closeness to the true value while precision refers to reproducibility of measurements.
3) Key elements of a measuring system include standards, the workpiece, instruments, human operators, and the environment. Objectives of metrology include evaluation, process capability determination, instrument capability determination, cost reduction, and standardization of methods.
This document discusses key topics in industrial instrumentation including:
1. The fundamentals of measurements needed in industry such as temperature, pressure, level, and flow.
2. The components, characteristics, and selection of instruments. Performance is evaluated based on static characteristics like accuracy and dynamic characteristics like response speed.
3. Calibration and sources of error are also reviewed to ensure quality measurements. Other factors like environment, safety, cost, and new digital technologies are transforming industrial sensors. The document aims to cover the principles and practice of instrumentation for process control and measurement in industry.
This document summarizes key points from a lecture on mechanical measurements and instrumentation. It discusses measurement participants including the measurand, measurement system, and observer. It then describes the components of a measurement system, including transducers that convert the measurand, signal conditioning elements, and signal utilization elements. Examples are provided of measuring temperature. The document also covers instruments reading quality in terms of range, span, and accuracy. It concludes with an overview of uncertainty in measurement and basic statistical calculations like finding the average and standard deviation.
This document provides an overview of the Metrology (MEE 322) course. It will cover topics related to precision measurement, including mechanical measurements under strict control conditions, comparator profilometry, and tolerances and quality. There will be two tests focused on collimators and fits. Recommended books for the course are also listed. The introduction to metrology defines key terms like definitions of metrology, types of metrology including scientific and industrial, the need for inspection in manufacturing, and factors that affect the accuracy of measurements. Errors in measurement and metric units used in industry are also introduced.
This document outlines the course objectives and syllabus for a Measurements and Instrumentation course.
The course aims to: [1] Familiarize students with measuring instrument characteristics and concepts of analog and digital instruments; [2] Teach students how to evaluate instrument performance using bridges, transducers, and different measurement techniques; and [3] Demonstrate various transducers and sensors used to measure physical quantities.
The syllabus covers 5 units - science of measurements, analog instruments, digital instruments, comparative measurement methods, and transducers and data acquisition systems. Key topics include instrument elements, static and dynamic performance, error analysis, and an overview of common measurement devices.
This document provides an overview of instrumentation and measurement concepts. It discusses that instrumentation deals with measurement techniques and measuring devices. Measurement involves comparing an unknown quantity to a standard.
A measurement system consists of various elements including a primary sensing element to detect the measured quantity, a transducer to convert it to another form, and elements for signal manipulation, transmission, processing, presentation and storage. Measurement methods can be direct, comparing the measured quantity directly to a standard, or indirect, using a measurement system with multiple elements. Measurements are used for process monitoring, control and experimental analysis.
The document discusses a spectrum analyzer and function generator. A spectrum analyzer is used to display and measure frequency by mixing the input signal with a voltage controlled oscillator, filtering at an intermediate frequency, and using a detector and vertical amplifier to display the pulse output only at the input signal frequency. A function generator generates different signal types like sine, square, and triangular waves, with adjustable frequency from Hz to MHz. It uses positive feedback oscillators like RC, LC, Wien bridge, and phase shift oscillators. The block diagram of each is also included.
The document discusses the cathode ray oscilloscope. It describes the cathode ray oscilloscope as an electronic voltmeter used to display and measure peak voltage, frequency, phase difference, pulse width, delay time, rise time, and fall time. It outlines the topics of cathode ray tube construction, electrostatic lens, electrostatic deflection, and phase and frequency measurement. Lissajous patterns are discussed for measuring phase differences and frequencies.
Introduction to electrical and electronic measurement system where basics on measurement, units, static and dynamic characteristics of instruments, order of instruments, are discussed in brief. Errors in instrumentation system is discussed. Calibration and traceability of instruments are illustrated.
This document provides an overview of measurement and instrumentation topics. It defines measurement as the act of comparing an unknown quantity to a standard. Instruments are defined as devices used to determine the value of a quantity, while instrumentation refers to using instruments to measure properties in industrial processes. The document discusses types of instruments, including active vs passive, as well as different methods and standards used for measurement. It also covers sources of error in measurement, such as systematic, random, alignment, and parallax errors.
METROLOGY & MEASUREMENT Unit 1 notes (5 files merged)MechRtc
Metrology is the science of measurement. It is concerned with establishing standards of measurement, measuring errors and uncertainties, and ensuring uniformity of measurements. Metrology has applications in industry, commerce, and public health/safety. It functions to maintain standards, train professionals, regulate manufacturers, and conduct research to improve measurement methods and accuracy. Proper measurement requires standards, instruments, trained personnel, and control of environmental factors that could influence results. Sources of error include the measuring system and process itself as well as environmental and loading factors. Accuracy depends on the operator, temperature, measurement method, and instrument deformation.
Ee2201 measurement-and-instrumentation-lecture-notesJayakumar T
This document provides an overview of electrical and electronic instruments. It discusses analog instruments and how they are classified based on the measured quantity, operating current, effects used, and measurement method. The principal of operation of common instruments is described, including magnetic, thermal, and induction effects. Specific instrument types are examined like permanent magnet moving coil meters, moving iron meters, and electrodynamometer meters. The document also covers power measurement instruments like wattmeters and energy meters for single and polyphase systems.
This document provides an overview of the course objectives and content for an experimental stress analysis course. The main objectives are:
1. To understand techniques for measuring displacements, stresses, and strains in structural components using strain gauges, photoelasticity, and non-destructive testing methods.
2. To familiarize students with different types of strain gauges, instrumentation systems for strain gauges, and photoelasticity stress analysis techniques.
3. To cover the basics of mechanical measurements, electrical resistance strain gauges, rosette strain gauges, and analyze experimental data through statistical methods.
The course will examine measurement systems, error analysis, contact and non-contact extensometers, electrical and optical
1. The document discusses measurement systems and instrumentation. It covers topics like order of instruments, instrument classification, units of measurement, standards of measurement, dimensions of measurement, and errors in measurement.
2. Instruments can be classified as mechanical, electrical, or electronic. They can also be categorized as absolute, secondary, digital, or analogue instruments.
3. The seven base SI units are meter, kilogram, second, Kelvin, mole, candela, and ampere. Derived units are formed by combining base units.
4. Standards provide defined relationships to measurement units and are used to calibrate other instruments. Primary standards define measurement units while secondary and working standards are calibrated against primary standards.
This document is a course manual on instrumentation and measurement that contains 7 chapters and 4 tutorials. It discusses fundamentals of measurement including direct and indirect methods, calibration concepts, and types of errors. It also covers time-dependent properties of analog signals such as harmonic signals and periodic signals represented through Fourier series. Methods for determining Fourier coefficients both analytically and through fast Fourier transforms are presented. The document provides an overview of key topics in instrumentation and measurement.
The document defines key terms related to measurement and instrumentation. It discusses measurement concepts including physical quantities, data, information, parameters and measurands. It also describes instrumentation components like transducers, sensors and actuators. Measurement systems involve detection, signal conditioning and readout stages. The document reviews calibration procedures, measurement errors, and static and dynamic instrument characteristics.
This document provides an overview of metrology and measurement concepts. It discusses the introduction to metrology, the need for measurement, components of a generalized measurement system, types of standards, units of measurement, types of measurements/methods of measurement, types of measuring instruments, accuracy vs precision, and factors affecting accuracy and precision. It also defines types of errors in measurement such as gross errors, measurement errors, systematic errors, and random errors.
This document provides an overview of metrology and measurement concepts. It discusses the introduction to metrology, the need for measurement, components of a generalized measurement system, types of standards, units of measurement, types of measurements/methods of measurement, types of measuring instruments, accuracy vs precision, and factors affecting accuracy and precision. It also defines types of errors in measurement such as gross errors, measurement errors, systematic errors, and random errors.
This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.
This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.
1) Metrology is the science of measurement and involves the establishment, reproduction, and transfer of measurement standards. Dimensional metrology deals specifically with measuring the dimensions of parts and workpieces.
2) Inspection is needed to determine true dimensions, convert measurements, ensure design specifications are met, evaluate performance, and ensure interchangeability for mass production. Accuracy refers to closeness to the true value while precision refers to reproducibility of measurements.
3) Key elements of a measuring system include standards, the workpiece, instruments, human operators, and the environment. Objectives of metrology include evaluation, process capability determination, instrument capability determination, cost reduction, and standardization of methods.
This document discusses key topics in industrial instrumentation including:
1. The fundamentals of measurements needed in industry such as temperature, pressure, level, and flow.
2. The components, characteristics, and selection of instruments. Performance is evaluated based on static characteristics like accuracy and dynamic characteristics like response speed.
3. Calibration and sources of error are also reviewed to ensure quality measurements. Other factors like environment, safety, cost, and new digital technologies are transforming industrial sensors. The document aims to cover the principles and practice of instrumentation for process control and measurement in industry.
This document summarizes key points from a lecture on mechanical measurements and instrumentation. It discusses measurement participants including the measurand, measurement system, and observer. It then describes the components of a measurement system, including transducers that convert the measurand, signal conditioning elements, and signal utilization elements. Examples are provided of measuring temperature. The document also covers instruments reading quality in terms of range, span, and accuracy. It concludes with an overview of uncertainty in measurement and basic statistical calculations like finding the average and standard deviation.
This document provides an overview of the Metrology (MEE 322) course. It will cover topics related to precision measurement, including mechanical measurements under strict control conditions, comparator profilometry, and tolerances and quality. There will be two tests focused on collimators and fits. Recommended books for the course are also listed. The introduction to metrology defines key terms like definitions of metrology, types of metrology including scientific and industrial, the need for inspection in manufacturing, and factors that affect the accuracy of measurements. Errors in measurement and metric units used in industry are also introduced.
This document outlines the course objectives and syllabus for a Measurements and Instrumentation course.
The course aims to: [1] Familiarize students with measuring instrument characteristics and concepts of analog and digital instruments; [2] Teach students how to evaluate instrument performance using bridges, transducers, and different measurement techniques; and [3] Demonstrate various transducers and sensors used to measure physical quantities.
The syllabus covers 5 units - science of measurements, analog instruments, digital instruments, comparative measurement methods, and transducers and data acquisition systems. Key topics include instrument elements, static and dynamic performance, error analysis, and an overview of common measurement devices.
This document provides an overview of instrumentation and measurement concepts. It discusses that instrumentation deals with measurement techniques and measuring devices. Measurement involves comparing an unknown quantity to a standard.
A measurement system consists of various elements including a primary sensing element to detect the measured quantity, a transducer to convert it to another form, and elements for signal manipulation, transmission, processing, presentation and storage. Measurement methods can be direct, comparing the measured quantity directly to a standard, or indirect, using a measurement system with multiple elements. Measurements are used for process monitoring, control and experimental analysis.
The document discusses a spectrum analyzer and function generator. A spectrum analyzer is used to display and measure frequency by mixing the input signal with a voltage controlled oscillator, filtering at an intermediate frequency, and using a detector and vertical amplifier to display the pulse output only at the input signal frequency. A function generator generates different signal types like sine, square, and triangular waves, with adjustable frequency from Hz to MHz. It uses positive feedback oscillators like RC, LC, Wien bridge, and phase shift oscillators. The block diagram of each is also included.
The document discusses the cathode ray oscilloscope. It describes the cathode ray oscilloscope as an electronic voltmeter used to display and measure peak voltage, frequency, phase difference, pulse width, delay time, rise time, and fall time. It outlines the topics of cathode ray tube construction, electrostatic lens, electrostatic deflection, and phase and frequency measurement. Lissajous patterns are discussed for measuring phase differences and frequencies.
This document discusses various types of electronic measurement instruments. It begins by explaining the limitations of traditional electrical voltmeters and ammeters that electronic instruments aim to overcome, such as having high input impedance and ability to measure low voltages. It then describes different circuits for D.C. and A.C. voltmeters using transistors and op-amps. True RMS voltmeters which can measure distorted waveforms using a thermocouple principle are also covered. Q-meters which measure coil and capacitor characteristics using a series RLC resonant circuit are explained. Finally, digital voltmeters which directly provide a numerical output through analog to digital conversion are summarized.
This document discusses electrical power and energy measurement techniques. It describes the construction, working principles, and sources of error for wattmeters and single-phase energy meters. Wattmeters measure power using an electrodynamic principle where the torque is proportional to the product of supply current and voltage. Single-phase energy meters use electromagnetic induction, with the driving torque proportional to supply voltage, current, and power factor, and the rotation recording consumed energy. Sources of error for both include load power factor, stray fields, temperature variations, and voltage fluctuations.
The document discusses different types of analog instruments used to measure electrical quantities like voltage and current. It classifies these instruments based on the quantity measured, type of current, operating principle, output representation, construction details and data presentation format. Key instruments discussed include permanent magnet moving coil (PMMC), moving iron, electrodynamometer and electrostatic instruments. Their working principles, torque equations, errors and advantages/disadvantages are also summarized.
This document discusses the measurement of electrical components like resistance, inductance, and capacitance. It begins by outlining different methods for measuring resistances of various ranges, including the ammeter-voltmeter method, Wheatstone bridge, and Kelvin's double bridge. It then covers techniques for measuring inductance and capacitance using bridges like Maxwell's bridge and Schering's bridge. Sources of error in bridge measurements are also reviewed. The document concludes by examining Wagner's earthing device for removing stray capacitances from bridge circuits.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
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1. Electrical and Electronic Measurement
Parveen Malik
Assistant Professor
School of Electronics Engineering
KIIT University
parveen.malikfet@kiit.ac.in
July 3, 2019
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 1 / 33
2. Outline
1 Measurement and its significance
2 Methods of Measurement
3 Classification of instruments
4 Errors in measurement
5 Accuracy and Precision
6 Significant Figures
7 Standards of Measurement
8 IEEE Standards
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 2 / 33
3. Measurement
” I often say that when you can measure what you are speaking about and
can express in numbers, you know something about it; when you can-not
express it in numbers your knowledge is a meagre and Unsatisfactory Kind
” - Lord Kelvin
Measurement1is the process by which one convert physical parameters to
meaningful numbers. Measuring process is the one in which the property
of an object or system under consideration is compared to an accepted
standard unit.
Requirement of Measurement
The standard used for comparison must be accurately defined and
commonly accepted.
e.g Heavy or light weight doesn’t have sense until its compared with a
standard.
The apparatus used and method adopted must be provable.
1
A Course in Electrical and Electronic Measurements and Instrumentation,
A. K. Sawhney, Dhanpat Rai.
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 3 / 33
5. Measurement and its significance
Significance
Measurement play a significant role in achieving goals and objective
of engineering because of feedback information supplied by them. e.g.
Each branch of engineering have two functions :
Design of equipment and process,
Proper operation and maintenance of equipment and process.
All these process require measurements.
Applications
Monitoring of Process and Operations.
Control of processes and operations.
Experiment Engineering Analysis.
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 5 / 33
7. Methods of measurement
Methods of Measurement
Direct Method
1 Unknown quantity is directly
compared against a primary
or secondary standard. e.g.
Length, Mass Measurement
2 Human Factor is more2.
3 Less Accurate
Indirect Method
1 Unknown quantity is
measured by instruments.
e.g. Measurement of strain
on elastic iron.
2 Human Factor is less.
3 More Accurate
(a) (b) (c) (d)
Figure: (a) Vernier Calliper (b) Micrometer (c) Multimeter (d) AM
2
Human preciseness =0.25 mm
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 7 / 33
9. Methods of measurement- Instrument
Instrument
An instrument is a physical device used to measure the unknown quantity
or variable.
Broader Classification - Electrical, electronic and Mechanical.
Earlier instruments were mechanical in nature and their principals of
operating is vogue today.
Three essential elements of an instrument which are still valid today
are
Detector
An
Intermediate
Transfer Device
Indicator
Recorder
Storage Device
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 9 / 33
11. Types of Instruments - Broad Classification
Mechanical, Electrical and Electronic Instruments
Mechanical Instruments
Very reliable for static and stable conditions.
Unable to operate under dynamic and transient conditions.
Very bulky,rigid and heavy.
Produce a lot of Noise
Electrical Instruments
More rapid than Mechanical.e.g Galvanometer
Obey Ohm’s law
Limited time due to involvement of mechanical parts. e.g. Industrial
recorders response time 0.5 to 24s.
Frequency response
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 11 / 33
12. Types of Instruments - Broad Classification
Mechanical, Electrical and Electronic Instruments
Electronic Instruments
Faster response -Semiconductor devices (E.g Typical RT ≃ ns)
Higher Sensitivity- Can detect weaker signals e.g. Bio electric
potential ≃ 1mV
Greater Flexibility - Can be added with pre-amplifier to detect weak
signal
Lower weight
Higher Reliability- Can operated at adverse locations.
Low power consumption
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 12 / 33
14. Classification of Instruments- Absolute and Secondary
Absolute Instruments
These instruments gives the
magnitude of quantity under
measurement in terms of physical
constants of the instrument.
e.g. Tangent Galvanometer3
Rayleigh’s current Balance4
Secondary Instruments
These instruments gives the
magnitude of quantity under
measurement by directly observing
the output. e.g. Voltmeter,
Glass Thermometer, Pressure
gauge5
(a) (b) (c) (d)
Figure: (a) T.G. (b) R.C.B. coils (c) Pressure Gauge (d) Voltmeter
3
http://www.questtutorials.com
4
https://nistdigitalarchives.contentdm.oclc.org
5
https://www.grainger.com
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 14 / 33
16. Classification of Instruments- Deflection and Null Type
Deflection Type
Basis of measurement is
deflection
e.g. PMMC
Null Type
Basis of measurement is Null
Indication
e.g. D.C.Potentiometer
(a) (b)
Figure: (a) Deflection Type - PMMC. (b) Null Type - D.C. Potentiometer
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 16 / 33
17. Classification of Instruments - Deflection and Null Type
Comparison
Deflection Type
1 Lower Accuracy due to
calibration dependency on
instrument constants.
2 Less Sensitive as detector
need to measure magnitude
of unknown quantity.
3 Suitable for Dynamic
Conditions
Null Type
1 Higher Accuracy due to
standard calibration.
2 More sensitive as detector
need not to measure
magnitude of unknown
quantity.
3 Suitable for Static
Conditions6.
6
Exception : Self Balancing Potentiometer used in commercial automatic
control instruments
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 17 / 33
19. Classification of Instruments - Indicating, Recording and
Controlling Function
Indicating
Supply Info. as
an indication.
e.g Deflection of
pointer of
speedometer,
Pressure Gauge
Recording
Disseminate info.
in the form of a
record. e.g.
Potentiometer
records temp.
put its
instantaneous
values on strip
chart recorder.
Controlling
Use info to
control the
original measured
quantity. e.g.
Thermostats -
Temperature
control, Floats -
liquid control.
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 19 / 33
21. Errors in measurement7
- Gross , Systematic and Random
Gross Error
Human Errors
Misreading,
Adjustments
Improper application of
instruments,
computational
mistakes.
e.g Low R voltmeter in
high R applications
Systematic Error
Instrumental -
Overloading,irregular
spring tension, uneven
stretching of spring.
Environmental -
change in ambient
Temp., Humidity, Pres-
sure,Electrical/Magnetic
field.
Random Error
Random variations
in parameters or
system of
measurement.
Different results
for repeated
measurements.
(a) (b) (c)
7
Modern Electronic Instrumentation and Measurement Techniques - A .D
Helfrick, W.D. CooperParveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 21 / 33
22. Errors in measurement8
8
Lecture Notes on Electrical Engineering Technologies - Prof. Dr. Bahattin
KaragzoluParveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 22 / 33
24. Errors in Measurement9
- Absolute Error and Relative Error
Absolute Error
When the measured value is expressed with a absolute value of error, then
it is refered to as Absolute Error
e.g R = 500 ± 50Ω. Here 50Ω is an absolute value.
Relative Error
When the error is expressed as a percentage or fraction of total measured
value.
e.g R = 500 ± 10%Ω. Here 10% is tolerance value in Resistance.
Another representation is ppm.
e.g. Temp. coefficient is expressed as ∆R
∆T = 100ppm/◦C. So 1MΩ would
have 100Ω of increment with 1◦C rise in temperature.
9
Electronic Instrumentation and Measurements David A. Bell
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 24 / 33
26. Accuracy and Precision
Accuracy
It is the degree of closeness by
which the measured value
approaches the true value.
e.g True Value : −45.002◦C
Observation 1-5
:−44.93◦C,−44.99◦C,−44.90◦C,
−44.97◦C,−45.003◦C.
Factors Affecting Accuracy
Intrinsic Accuracy of
instrument
Accuracy of observer.
Variation of Signal under
measurement.
Precision
It is the degree of closeness by
which the measured values are
close to each other in a set of
observation.
e.g.
Observation 1-5 : −44.00◦C,
−44.99◦C,−44.90◦C
,−44.97◦C,−45.003◦C
Factors Affecting Precision
Conformity - repeatability or
reproducibility
No. of the significant
numbers.
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 26 / 33
27. Accuracy and Precision
Mathematically
Absolute accuracy is defined as maximum absolute deviation from true
value.
δ1 = True Value − Min.
δ2 = Max. − True Value
Absolute Accuracy = max{δ1, δ2}
Relative Accuracy(RA) = Absolute Accuracy
True Value
% Accuracy = RA × 100
(1)
Precision is the absolute max. deviation from the average of the readings.
δ1 = Vavg − Min.
δ2 = Max. − Vavg
Precision = max{δ1, δ2}
(2)
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 27 / 33
29. Significant Figures
Significant figures convey actual information regarding the magnitude and
the measurement precision of a quantity.
The more significant figures the greater the precision of measurement.
e.g. Let us consider the reading of voltmeter is 8.135 V. It means reading
is precise to 4 significant figures so that measurement precision is 0.001 V
or 1 mV. If the measurement was made to precision of 10mv, the display
would be 8.13 V or 8.14 V.
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 29 / 33
31. Standards of Measurement
1 International Standards are defined by international agreement. and
maintained at international bureau of weights and measure.
International Ohm: It is defined as the resistance offered by a column
of mercury having a mass of 14.4521 grams, uniform cross-section
areas length of 106.300 cm, to the flow of constant current at the
melting point of ice.
International Ampere: It is an unvarying current, which when passed
through a solution of silver nitrate in water deposits silver at the rate
0.00111800 grams/sec (g/s).
2 Primary Standard are maintained by national standards laboratories
in different parts of the world.
3 Secondary Standard are used in industrial measurement laboratories.
4 Working Standard are the principle tools of a measurement .
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 31 / 33
33. IEEE Standards
IEEE stands for Institute for Electrical and Electronics Engineers
This standard is mentioned by society named as IEEE standard.
Most of IEEE standard is considered as the standard test method for
testing and evaluating various electronic systems and components.
e.g. IEEE 488 Instrumentation Bus
Parveen Malik (PhD, IIT Guwahati) E and EM July 3, 2019 33 / 33