SlideShare a Scribd company logo
1 of 44
Download to read offline
ELEC-E5710 - Sensors and
Measurement Methods
Teachers:
Petri Kärhä, petri.karha@aalto.fi, +358505968469, Rm 3528
Hans Baumgartner, hans.baumgartner@aalto.fi
Timo Dönsberg, timo.donsberg@vtt.fi
Course contents
• Introduction to sensors and measurement methods
• SI-system and uncertainty in measurements
• Measurement of electrical signals and quantities
• Measuring non-electrical quantities and applicable
sensors
– Temperature and humidity
– Light
– Mass
– Pressure and flow
– Force and acceleration
– Displacement
Sensors and Measurement Methods 2
Schedule
• Lectures on Tuesdays 8:30 – 10:00in U6 / U149 (Konecranes)
Exercises about every other Tuesday 10:15 – 12:00 in U356
Two Excursions: Aalto Metrology and VTT Mikes
Sensors and Measurement Methods 3
Date Lecture 8:30 - 10:00 (Konecranes) Exercise 10:15 - 12:00 (U356)
8:30-10:00 26.2. Introduction to sensors
8:30-10:00 5.3.
SI-system of units, Uncertainty in
measurements
Exercise 1
8:30-12:00 12.3. Electrical measurements: U, I, C, L, R, F Excercise 2
8:30-10:00 19.3 Measuring low signal levels, noise
8:30-12:00 26.3. Light
Demo (Maarintie 8): Lock-in amplifier,
Cryostats, Laser power
8:30-12:00 2.4. Temperature and humidity Excercise 3
Eiluentoa 9.4. --
8:30-10:00 16.4. Pressure Excercise 4
8:30-12:00 23.4. Flow Excercise 5
Wappu 30.4. --
8:30-10:00 7.5 Mass Excercise 6
8:30-12:00 14.5. Force, acceleration Excercise 7
9:00-12:00 21.5. Excursion to VTT-MIKES
9:00-12:00 27.5 Exam
Homeworks
• By making 5 homeworks, you can replace assignments
in the exam.
• Homework are not compulsory, but highly
recommended.
• Each homework consists of 1-2 assignments.
• Return your solutions before the deadline in MyCourses
(12.3., 2.4., 23.4., 14.5., and 21.5. at 10:00)
• Solutions for the homework will be reviewed in exercise
sessions.
Sensors and Measurement Methods 4
Grading
• Exam: 5 assignments, you will need ~50 % of maximum
points to pass
– Types of questions: explain briefly, operation principles of
sensors, pros and cons or uncertainty sources of a certain
measurement method, measurement methods or sensors for a
certain quantity or situation, calculation exercises, derivation of
measurement equation, …
• By making homework, you can replace assignments in
the exam
– 50 % of homework points → 1 assignment in exam
– 80 % of homework points → 2 assignments in exam
– If you do whole exam, 1 – 2 worst assignments will be replaced
Sensors and Measurement Methods 5
Course material
• Slides and exercise solutions in MyCourses.
• Books:
– J. Fraden, Handbook of Modern Sensors - Physics, Designs and
Applications (3rd Edition), 2004.
http://www.kelm.ftn.uns.ac.rs/literatura/si/pdf/HandbookOfModern
SensorsPhysicsDesignAndApplications.pdf
– J. S. Wilson, Sensor Technology Handbook, 2005.
http://www.kelm.ftn.uns.ac.rs/literatura/si/pdf/Sensor%20Technol
ogy%20Handbook.pdf
– Keithley, Low Level Measurements Handbook – 7th Edition.
https://www.tek.com/document/handbook/low-level-
measurements-handbook
• Books used selectively.
Sensors and Measurement Methods 6
Introduction to sensors
ELEC-E5710 Sensors and Measurement Methods
J. Fraden, Handbook of Modern Sensors, Chapters 1, 2
J. S. Wilson, Sensor Technology Handbook, Chapter 1
Terminology
• Sensor is a device that receives a measurand /stimulus
and responds with an electrical signal.
• Transducer is a device that transmits energy from one
system to another in same or different format.
– Transducers can be both sensors and actuators.
• Actuator (opposite to a sensor) converts electrical
signal into generally nonelectrical energy.
Introduction to sensors 8
Transformation of signal / energy
Out
In
Radiation Mechanical Thermal Electrical Magnetic Chemical
Radiation
Photo-
luminescence
Radiation
pressure
Absorption of
radiation
Photoelectric
effect
Photomagnetis
m
Photosynthesis
Mechanical
Piezo-
luminescence
Preservation of
momentum
Warming due
to friction
Piezoelectric
effect
Villari effect
Pressure
induced
explosion
Thermal Glowing
(Thermal)
expansion
Thermal
conductivity
Seebeck effect
Curie-Weiss
effect
Endothermic
processes
Electrical
Electrical
luminescence
Piezoelectric
effect
Peltier effect
Semiconductor
s
Ampère’s law Electrolysis
Magnetic
Faraday
effect
Magnetostricti
ve
Ettinghausen
effect
Hall effect
Chemical
Chemical
luminescence
Explosion
Exothermical
processes
Volta effect
Chemical
reaction
Introduction to sensors 9
Sensor classification
• Direct sensor converts a stimulus into an electrical
signal or modifies an electrical signal
• Complex sensor needs one or more transducers of
energy before a direct sensor can be employed to
generate an electrical output.
• Also Passive vs. Active (needs electricity)
• Absolute vs. Relative
Introduction to sensors 10
A perfect sensor
• Sensitive for the measurand, Insensitive for other effects
• Does not affect the measured quantity or target.
• Sensitivity is linear and signal has no offset.
– Can be compensated with calibration and electronics
Introduction to sensors 11
Transfer function of a sensor
• The dependence of sensor signal S on the
stimulus s.
– Linear S = a + bs
– Logarithmic S = a + b ln(s)
– Exponential S = a eks
– Power function S = a0 + a1sk
• More complicated transfer functions can be modelled
with a higher order polynomial function.
Introduction to sensors 12
Sensor characteristics
• Sensitivity
• Span / Dynamic range
• Accuracy / Uncertainty / Precision
• Resolution
• Linearity / Nonlinearity
• Hysteresis
• Noise
• Dynamic properties
Introduction to sensors 13
Sensitivity
• Sensitivity is the derivative of
the transfer function
=
• Also called Responsivity
• With linear detector, sensitivity
is constant
• Not to be confused with that
the sensor would be likely to
break
• High sensitivity not always
preferred
Introduction to sensors 14
Span / Dynamic range
• Span is the range of stimuli which may be converted by
a sensor (also known as Range, or Full scale)
• For example, an acceleration sensor may have a span
of ±2g
• Dynamic range is the ratio of highest measurable
stimulus to the lowest measurable stimulus, often given
in decibels:
DR = 10 log Pmax / Pmin = 20 log Smax / Smin
• To think: Measurement range of a Voltmeter is given
as 0 – 1000 V. Is this span or dynamic range?
Introduction to sensors 15
What does an accuracy mean?
• Accuracy is the agreement between
the result of a measurement and the
true value being measured.
– Improves by calibrating
• Precision (Repeatability) is the ability
of the sensor to output the same value
for the same input over a number of
trials.
– Improves by averaging
• Often misunderstood! Also Resolution,
the lowest measurable stimulus, is
sometimes called accuracy
Introduction to sensors 16
Error factors
Introduction to sensors 17
• Non-linearity
• Offset
• Gain error
• Drift
• Can be corrected
for with Calibration
Hysteresis and repeatability
Introduction to sensors 18
Dynamic properties of sensors
• Sensitivity of a sensor with a variable stimulus
– It takes some time for a temperature sensor to reach
the target temperature -> time constants
– Inductances, masses, thermal and electrical
capacitances etc.
– Dynamic response restricts frequency band.
Introduction to sensors 19
Zeroth order sensors
= +
• S(t) is a sensor signal, s(t) is stimulus, b is static (linear)
sensitivity, a is offset.
• Sensor has neither capacitance nor mass.
• The sensitivity of sensor follows stimulus without delay.
• E.g. potentiometric transitional sensor.
Introduction to sensors 20
First order sensors
+ =
• Includes a single component storing energy.
• Temperature sensor is a first order sensor (temperature capacity).
• Step response: = (1 − ⁄
).
• is time constant (dynamic response), Sm is static response.
Introduction to sensors 21
Second order sensors
+ + =
• Include two components storing energy
• Acceleration sensor is a second order sensor (mass and spring)
• Characterized at resonance frequency (natural frequency)
Introduction to sensors 22
The effect of environmental factors
• Storage and operation conditions are often specified
– Effect especially on long term stability
• Transfer function varies due to environmental factors
• The most important factor is temperature
– Does not only affect temperature measuring but also nearly
everything
• Relative humidity
• EM-fields
• Varying these factors during measurements causes
inaccuracies
Introduction to sensors 23
Classification of sensors
• By the measured phenomenon
– E.g. temperature, pressure, flow, etc.
• By the operation mechanism
– E.g. resistive, capacitive, MEMS (micro-electro-mechanical
system), electricity generating
Introduction to sensors 24
Resistive sensors
Operating principles:
• Ohm’s Law
• Light resistive effect
• Piezoresistive effect
• Thermal resistive effect of metals and semiconductors
• Bioelectrical impedance
Introduction to sensors 25
Resistive sensors
• Resistance depends on resistivity r
[Wm] and geometry of a wire (cross-
sectional area A and length l):
• Resistivity depends on the electric field
strength E [V/m] and current density j
[A/m2]:
• Resistivity of metals depends
nearly linearly on temperature:
=
=
= [1 + − ]
Introduction to sensors 26
Potentiometric sensors (Ohm’s law)
• Mounted potentiometer has a moving contact
• The contact of the potentiometer is either sliding
or rotatable
– Linear or angular position sensor
Introduction to sensors 27
Potentiometric pressure sensor
• Pressured fluid/gas changes the foil when the lever
moves and thus changes the resistance.
Introduction to sensors 28
Light resistive sensors
• The resistance of a photoresistor decreases
when the amount of light increases.
• Photoresistor can be called LDR (light
dependent resistor), photoconductor, or photo
cell
– It is made of semiconductor with high resistance
– Photon absorbed by a semiconductor generates an
electron which has enough energy to jump to
conduction band. Generated free electron conducts
electricity and thus decreases resistance.
– CdS is the most sensitive to visible light. PbSe is the
most effective to near infrared light.
Introduction to sensors 29
Piezoresistive sensors
• The resistance of a material changes in consequence of
mechanical strain.
• Resistance of conductor: =
• Resistance changes because geometry (metal strain
gauge) or resistivity (semiconductor strain gauge)
changes.
Introduction to sensors 30
Piezoresistive sensors
• Are used in e.g. force, pressure, acceleration, and
oscillation sensors.
• Good frequency response.
• Sensitive to temperature changes and mechanical
interferences
Introduction to sensors 31
Thermal resistive sensors
- Metal resistance temperature detector (RTD)
• Wire-wound resistor: a very thin wire
spun around a substrate.
• Thin-film resistor: thin metal foil overlaid on
a substrate using thin-film lithography.
• The most common metals: platinum,
copper, nickel.
• Resistance has rather linear temperature
dependency.
Introduction to sensors 32
Resistive humidity sensors (humistor)
• Measure changes in resistance of a
hygroscopic material
– Heavily dependent of the concentration of
absorbed water molecules.
– Usually an exponential dependence to humidity.
• Usually includes a substrate and
two silk screen printed conducting
electrodes
Introduction to sensors 33
Capacitive measurements
• Based on the change of capacitance when a specific
condition changes.
• Capacitance: =
– where is the relative static permittivity of the material, is
the electric constant, and G the geometry factor.
• G is dictated by the shape of the capacitor:
– Plate capacitor: = /
– Cylinder capacitor: = 2 /[ln ]
– Spherical capacitor: = 4 /( − )
Introduction to sensors 34
Capacitive way of measuring
• Can be used to recognise movement and to measure
pressure, power and acceleration.
• The capacitance of a sensor changes when the distance
(a), area (b), or permittivity (c) of two plates changes.
Introduction to sensors 35
Applications of plate capacitor sensors
Introduction to sensors 36
Coaxial capacitive sensor
• Power sensor.
• A polymer used as a good
insulator (e.g. polyvinylidene
fluoride)
– High capacitance.
• The capacitance of both capacitors
change because of the movement
of another electrode.
• Coaxial geometry allows better
sensitivity than equivalent plate
capacitor would.
Introduction to sensors 37
Capacitive humidity sensor
• Polymer between two electrodes.
• Permittivity depends on humidity.
Introduction to sensors 38
Chemical capacitive sensor
• A chemically sensitive polymer between two electrodes
• Polymer absorbs special chemical and then
consequently expands. This increases the distance and
permittivity between the electrodes => capacitance
changes
Introduction to sensors 39
Shrinking capacitive sensor
• Sensor has flexible, conducting elastomer as electrodes
instead of ordinary hard metals.
• An electrode with large area and short distance =>
higher capacitance.
• Load bends elastomer and thus changes the geometry
and capacitance
Introduction to sensors 40
Piezoelectric effect
• Mechanical stress causes electric polarization
and also other way round: electric field causes
mechanical stress.
• Mechanic or acoustic signals can be
transformed into electric ones.
• Power, acceleration, and pressure sensors,
microphones etc…
Introduction to sensors 41
Electromagnetic induction
• Transitional sensors
– Linear Variable Differential
Transformer (LVDT)
• Distance sensors
Introduction to sensors 42
Hall sensors
• Current flow in a thin
semiconducting plate.
• Direction of the current
changes when the plate
is placed into a
perpendicular magnetic
field.
• Lorentz’s force
determines the direction
of electrons
Introduction to sensors 43
Electrochemical ways of measuring
• Resistive chemical sensors measure the
change in conductivity when the active part of
the sensor interacts with a chemical
– Semiconductors (metal oxides, conducting polymers).
– Tin oxide resistor to detect gas.
– Reducible gas decreases the resistance of the
sensor and oxidizable gas increases it.
Introduction to sensors 44

More Related Content

Similar to 1 - Introduction to power electronics_2019.pdf

Similar to 1 - Introduction to power electronics_2019.pdf (20)

Sensors and transducers 1.ppt
Sensors and transducers 1.pptSensors and transducers 1.ppt
Sensors and transducers 1.ppt
 
Introduction to Sensor
Introduction to SensorIntroduction to Sensor
Introduction to Sensor
 
Sensors
SensorsSensors
Sensors
 
Characteristics of Measuring instruments
Characteristics of Measuring instrumentsCharacteristics of Measuring instruments
Characteristics of Measuring instruments
 
Unit 5_measurement & control.pptx
Unit 5_measurement & control.pptxUnit 5_measurement & control.pptx
Unit 5_measurement & control.pptx
 
l1_introduction.pdf
l1_introduction.pdfl1_introduction.pdf
l1_introduction.pdf
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
PPT Sensors.ppt
PPT Sensors.pptPPT Sensors.ppt
PPT Sensors.ppt
 
Sensors.ppt
Sensors.pptSensors.ppt
Sensors.ppt
 
Sensors
SensorsSensors
Sensors
 
Sensor and transducers lect 1
Sensor and transducers lect 1Sensor and transducers lect 1
Sensor and transducers lect 1
 
UNIT- I.pptx
UNIT- I.pptxUNIT- I.pptx
UNIT- I.pptx
 
480-sensors.ppt
480-sensors.ppt480-sensors.ppt
480-sensors.ppt
 
480-sensors.ppt
480-sensors.ppt480-sensors.ppt
480-sensors.ppt
 

Recently uploaded

Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...
Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...
Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...Payal Garg #K09
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...Amil baba
 
Computer Graphics Introduction To Curves
Computer Graphics Introduction To CurvesComputer Graphics Introduction To Curves
Computer Graphics Introduction To CurvesChandrakantDivate1
 
Post office management system project ..pdf
Post office management system project ..pdfPost office management system project ..pdf
Post office management system project ..pdfKamal Acharya
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxpritamlangde
 
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...dannyijwest
 
Online food ordering system project report.pdf
Online food ordering system project report.pdfOnline food ordering system project report.pdf
Online food ordering system project report.pdfKamal Acharya
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelDrAjayKumarYadav4
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdfKamal Acharya
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network DevicesChandrakantDivate1
 
Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...ppkakm
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdfKamal Acharya
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...HenryBriggs2
 
fitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptfitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptAfnanAhmad53
 
Electromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxElectromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxNANDHAKUMARA10
 
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...ronahami
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdfAldoGarca30
 
Fundamentals of Internet of Things (IoT) Part-2
Fundamentals of Internet of Things (IoT) Part-2Fundamentals of Internet of Things (IoT) Part-2
Fundamentals of Internet of Things (IoT) Part-2ChandrakantDivate1
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxMustafa Ahmed
 

Recently uploaded (20)

Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...
Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...
Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
 
Computer Graphics Introduction To Curves
Computer Graphics Introduction To CurvesComputer Graphics Introduction To Curves
Computer Graphics Introduction To Curves
 
Post office management system project ..pdf
Post office management system project ..pdfPost office management system project ..pdf
Post office management system project ..pdf
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptx
 
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...
 
Online food ordering system project report.pdf
Online food ordering system project report.pdfOnline food ordering system project report.pdf
Online food ordering system project report.pdf
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
Hostel management system project report..pdf
Hostel management system project report..pdfHostel management system project report..pdf
Hostel management system project report..pdf
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdf
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
 
fitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptfitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .ppt
 
Electromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxElectromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptx
 
Signal Processing and Linear System Analysis
Signal Processing and Linear System AnalysisSignal Processing and Linear System Analysis
Signal Processing and Linear System Analysis
 
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 
Fundamentals of Internet of Things (IoT) Part-2
Fundamentals of Internet of Things (IoT) Part-2Fundamentals of Internet of Things (IoT) Part-2
Fundamentals of Internet of Things (IoT) Part-2
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptx
 

1 - Introduction to power electronics_2019.pdf

  • 1. ELEC-E5710 - Sensors and Measurement Methods Teachers: Petri Kärhä, petri.karha@aalto.fi, +358505968469, Rm 3528 Hans Baumgartner, hans.baumgartner@aalto.fi Timo Dönsberg, timo.donsberg@vtt.fi
  • 2. Course contents • Introduction to sensors and measurement methods • SI-system and uncertainty in measurements • Measurement of electrical signals and quantities • Measuring non-electrical quantities and applicable sensors – Temperature and humidity – Light – Mass – Pressure and flow – Force and acceleration – Displacement Sensors and Measurement Methods 2
  • 3. Schedule • Lectures on Tuesdays 8:30 – 10:00in U6 / U149 (Konecranes) Exercises about every other Tuesday 10:15 – 12:00 in U356 Two Excursions: Aalto Metrology and VTT Mikes Sensors and Measurement Methods 3 Date Lecture 8:30 - 10:00 (Konecranes) Exercise 10:15 - 12:00 (U356) 8:30-10:00 26.2. Introduction to sensors 8:30-10:00 5.3. SI-system of units, Uncertainty in measurements Exercise 1 8:30-12:00 12.3. Electrical measurements: U, I, C, L, R, F Excercise 2 8:30-10:00 19.3 Measuring low signal levels, noise 8:30-12:00 26.3. Light Demo (Maarintie 8): Lock-in amplifier, Cryostats, Laser power 8:30-12:00 2.4. Temperature and humidity Excercise 3 Eiluentoa 9.4. -- 8:30-10:00 16.4. Pressure Excercise 4 8:30-12:00 23.4. Flow Excercise 5 Wappu 30.4. -- 8:30-10:00 7.5 Mass Excercise 6 8:30-12:00 14.5. Force, acceleration Excercise 7 9:00-12:00 21.5. Excursion to VTT-MIKES 9:00-12:00 27.5 Exam
  • 4. Homeworks • By making 5 homeworks, you can replace assignments in the exam. • Homework are not compulsory, but highly recommended. • Each homework consists of 1-2 assignments. • Return your solutions before the deadline in MyCourses (12.3., 2.4., 23.4., 14.5., and 21.5. at 10:00) • Solutions for the homework will be reviewed in exercise sessions. Sensors and Measurement Methods 4
  • 5. Grading • Exam: 5 assignments, you will need ~50 % of maximum points to pass – Types of questions: explain briefly, operation principles of sensors, pros and cons or uncertainty sources of a certain measurement method, measurement methods or sensors for a certain quantity or situation, calculation exercises, derivation of measurement equation, … • By making homework, you can replace assignments in the exam – 50 % of homework points → 1 assignment in exam – 80 % of homework points → 2 assignments in exam – If you do whole exam, 1 – 2 worst assignments will be replaced Sensors and Measurement Methods 5
  • 6. Course material • Slides and exercise solutions in MyCourses. • Books: – J. Fraden, Handbook of Modern Sensors - Physics, Designs and Applications (3rd Edition), 2004. http://www.kelm.ftn.uns.ac.rs/literatura/si/pdf/HandbookOfModern SensorsPhysicsDesignAndApplications.pdf – J. S. Wilson, Sensor Technology Handbook, 2005. http://www.kelm.ftn.uns.ac.rs/literatura/si/pdf/Sensor%20Technol ogy%20Handbook.pdf – Keithley, Low Level Measurements Handbook – 7th Edition. https://www.tek.com/document/handbook/low-level- measurements-handbook • Books used selectively. Sensors and Measurement Methods 6
  • 7. Introduction to sensors ELEC-E5710 Sensors and Measurement Methods J. Fraden, Handbook of Modern Sensors, Chapters 1, 2 J. S. Wilson, Sensor Technology Handbook, Chapter 1
  • 8. Terminology • Sensor is a device that receives a measurand /stimulus and responds with an electrical signal. • Transducer is a device that transmits energy from one system to another in same or different format. – Transducers can be both sensors and actuators. • Actuator (opposite to a sensor) converts electrical signal into generally nonelectrical energy. Introduction to sensors 8
  • 9. Transformation of signal / energy Out In Radiation Mechanical Thermal Electrical Magnetic Chemical Radiation Photo- luminescence Radiation pressure Absorption of radiation Photoelectric effect Photomagnetis m Photosynthesis Mechanical Piezo- luminescence Preservation of momentum Warming due to friction Piezoelectric effect Villari effect Pressure induced explosion Thermal Glowing (Thermal) expansion Thermal conductivity Seebeck effect Curie-Weiss effect Endothermic processes Electrical Electrical luminescence Piezoelectric effect Peltier effect Semiconductor s Ampère’s law Electrolysis Magnetic Faraday effect Magnetostricti ve Ettinghausen effect Hall effect Chemical Chemical luminescence Explosion Exothermical processes Volta effect Chemical reaction Introduction to sensors 9
  • 10. Sensor classification • Direct sensor converts a stimulus into an electrical signal or modifies an electrical signal • Complex sensor needs one or more transducers of energy before a direct sensor can be employed to generate an electrical output. • Also Passive vs. Active (needs electricity) • Absolute vs. Relative Introduction to sensors 10
  • 11. A perfect sensor • Sensitive for the measurand, Insensitive for other effects • Does not affect the measured quantity or target. • Sensitivity is linear and signal has no offset. – Can be compensated with calibration and electronics Introduction to sensors 11
  • 12. Transfer function of a sensor • The dependence of sensor signal S on the stimulus s. – Linear S = a + bs – Logarithmic S = a + b ln(s) – Exponential S = a eks – Power function S = a0 + a1sk • More complicated transfer functions can be modelled with a higher order polynomial function. Introduction to sensors 12
  • 13. Sensor characteristics • Sensitivity • Span / Dynamic range • Accuracy / Uncertainty / Precision • Resolution • Linearity / Nonlinearity • Hysteresis • Noise • Dynamic properties Introduction to sensors 13
  • 14. Sensitivity • Sensitivity is the derivative of the transfer function = • Also called Responsivity • With linear detector, sensitivity is constant • Not to be confused with that the sensor would be likely to break • High sensitivity not always preferred Introduction to sensors 14
  • 15. Span / Dynamic range • Span is the range of stimuli which may be converted by a sensor (also known as Range, or Full scale) • For example, an acceleration sensor may have a span of ±2g • Dynamic range is the ratio of highest measurable stimulus to the lowest measurable stimulus, often given in decibels: DR = 10 log Pmax / Pmin = 20 log Smax / Smin • To think: Measurement range of a Voltmeter is given as 0 – 1000 V. Is this span or dynamic range? Introduction to sensors 15
  • 16. What does an accuracy mean? • Accuracy is the agreement between the result of a measurement and the true value being measured. – Improves by calibrating • Precision (Repeatability) is the ability of the sensor to output the same value for the same input over a number of trials. – Improves by averaging • Often misunderstood! Also Resolution, the lowest measurable stimulus, is sometimes called accuracy Introduction to sensors 16
  • 17. Error factors Introduction to sensors 17 • Non-linearity • Offset • Gain error • Drift • Can be corrected for with Calibration
  • 19. Dynamic properties of sensors • Sensitivity of a sensor with a variable stimulus – It takes some time for a temperature sensor to reach the target temperature -> time constants – Inductances, masses, thermal and electrical capacitances etc. – Dynamic response restricts frequency band. Introduction to sensors 19
  • 20. Zeroth order sensors = + • S(t) is a sensor signal, s(t) is stimulus, b is static (linear) sensitivity, a is offset. • Sensor has neither capacitance nor mass. • The sensitivity of sensor follows stimulus without delay. • E.g. potentiometric transitional sensor. Introduction to sensors 20
  • 21. First order sensors + = • Includes a single component storing energy. • Temperature sensor is a first order sensor (temperature capacity). • Step response: = (1 − ⁄ ). • is time constant (dynamic response), Sm is static response. Introduction to sensors 21
  • 22. Second order sensors + + = • Include two components storing energy • Acceleration sensor is a second order sensor (mass and spring) • Characterized at resonance frequency (natural frequency) Introduction to sensors 22
  • 23. The effect of environmental factors • Storage and operation conditions are often specified – Effect especially on long term stability • Transfer function varies due to environmental factors • The most important factor is temperature – Does not only affect temperature measuring but also nearly everything • Relative humidity • EM-fields • Varying these factors during measurements causes inaccuracies Introduction to sensors 23
  • 24. Classification of sensors • By the measured phenomenon – E.g. temperature, pressure, flow, etc. • By the operation mechanism – E.g. resistive, capacitive, MEMS (micro-electro-mechanical system), electricity generating Introduction to sensors 24
  • 25. Resistive sensors Operating principles: • Ohm’s Law • Light resistive effect • Piezoresistive effect • Thermal resistive effect of metals and semiconductors • Bioelectrical impedance Introduction to sensors 25
  • 26. Resistive sensors • Resistance depends on resistivity r [Wm] and geometry of a wire (cross- sectional area A and length l): • Resistivity depends on the electric field strength E [V/m] and current density j [A/m2]: • Resistivity of metals depends nearly linearly on temperature: = = = [1 + − ] Introduction to sensors 26
  • 27. Potentiometric sensors (Ohm’s law) • Mounted potentiometer has a moving contact • The contact of the potentiometer is either sliding or rotatable – Linear or angular position sensor Introduction to sensors 27
  • 28. Potentiometric pressure sensor • Pressured fluid/gas changes the foil when the lever moves and thus changes the resistance. Introduction to sensors 28
  • 29. Light resistive sensors • The resistance of a photoresistor decreases when the amount of light increases. • Photoresistor can be called LDR (light dependent resistor), photoconductor, or photo cell – It is made of semiconductor with high resistance – Photon absorbed by a semiconductor generates an electron which has enough energy to jump to conduction band. Generated free electron conducts electricity and thus decreases resistance. – CdS is the most sensitive to visible light. PbSe is the most effective to near infrared light. Introduction to sensors 29
  • 30. Piezoresistive sensors • The resistance of a material changes in consequence of mechanical strain. • Resistance of conductor: = • Resistance changes because geometry (metal strain gauge) or resistivity (semiconductor strain gauge) changes. Introduction to sensors 30
  • 31. Piezoresistive sensors • Are used in e.g. force, pressure, acceleration, and oscillation sensors. • Good frequency response. • Sensitive to temperature changes and mechanical interferences Introduction to sensors 31
  • 32. Thermal resistive sensors - Metal resistance temperature detector (RTD) • Wire-wound resistor: a very thin wire spun around a substrate. • Thin-film resistor: thin metal foil overlaid on a substrate using thin-film lithography. • The most common metals: platinum, copper, nickel. • Resistance has rather linear temperature dependency. Introduction to sensors 32
  • 33. Resistive humidity sensors (humistor) • Measure changes in resistance of a hygroscopic material – Heavily dependent of the concentration of absorbed water molecules. – Usually an exponential dependence to humidity. • Usually includes a substrate and two silk screen printed conducting electrodes Introduction to sensors 33
  • 34. Capacitive measurements • Based on the change of capacitance when a specific condition changes. • Capacitance: = – where is the relative static permittivity of the material, is the electric constant, and G the geometry factor. • G is dictated by the shape of the capacitor: – Plate capacitor: = / – Cylinder capacitor: = 2 /[ln ] – Spherical capacitor: = 4 /( − ) Introduction to sensors 34
  • 35. Capacitive way of measuring • Can be used to recognise movement and to measure pressure, power and acceleration. • The capacitance of a sensor changes when the distance (a), area (b), or permittivity (c) of two plates changes. Introduction to sensors 35
  • 36. Applications of plate capacitor sensors Introduction to sensors 36
  • 37. Coaxial capacitive sensor • Power sensor. • A polymer used as a good insulator (e.g. polyvinylidene fluoride) – High capacitance. • The capacitance of both capacitors change because of the movement of another electrode. • Coaxial geometry allows better sensitivity than equivalent plate capacitor would. Introduction to sensors 37
  • 38. Capacitive humidity sensor • Polymer between two electrodes. • Permittivity depends on humidity. Introduction to sensors 38
  • 39. Chemical capacitive sensor • A chemically sensitive polymer between two electrodes • Polymer absorbs special chemical and then consequently expands. This increases the distance and permittivity between the electrodes => capacitance changes Introduction to sensors 39
  • 40. Shrinking capacitive sensor • Sensor has flexible, conducting elastomer as electrodes instead of ordinary hard metals. • An electrode with large area and short distance => higher capacitance. • Load bends elastomer and thus changes the geometry and capacitance Introduction to sensors 40
  • 41. Piezoelectric effect • Mechanical stress causes electric polarization and also other way round: electric field causes mechanical stress. • Mechanic or acoustic signals can be transformed into electric ones. • Power, acceleration, and pressure sensors, microphones etc… Introduction to sensors 41
  • 42. Electromagnetic induction • Transitional sensors – Linear Variable Differential Transformer (LVDT) • Distance sensors Introduction to sensors 42
  • 43. Hall sensors • Current flow in a thin semiconducting plate. • Direction of the current changes when the plate is placed into a perpendicular magnetic field. • Lorentz’s force determines the direction of electrons Introduction to sensors 43
  • 44. Electrochemical ways of measuring • Resistive chemical sensors measure the change in conductivity when the active part of the sensor interacts with a chemical – Semiconductors (metal oxides, conducting polymers). – Tin oxide resistor to detect gas. – Reducible gas decreases the resistance of the sensor and oxidizable gas increases it. Introduction to sensors 44