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Strategies for Vibration Monitoring, protective maintenance and other industrial fan related instruction.
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This document provides information about vibration analysis and monitoring. It defines key vibration terms like displacement, velocity, acceleration, and frequency. It describes common applications of vibration analysis in industries. It explains how vibration analysis can be used to improve reliability by identifying root causes of faults and ensuring machines are properly maintained. The document discusses different methods of vibration data collection, from simple meters to professional analyzers. It provides an example of a vibration case study on a centrifugal fan and highlights the importance of vibration monitoring in preventing machine failures.
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This document discusses advances in fault detection and diagnosis in industry. It covers condition monitoring techniques like vibration analysis, lubricant analysis, and thermography. It discusses the differences between fault, failure, and malfunction and describes fault detection as detecting small faults early through techniques like limit checking and trend analysis. Fault diagnosis involves diagnosing faults in processes, parts, and devices using analytical and heuristic methods. Condition monitoring systems are discussed along with fault detection models using process variables. Data analysis techniques and online enterprise asset management are also covered.
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This document discusses vibration analysis at thermal power plants. It outlines the objectives of vibration monitoring, which include improving equipment protection, safety, maintenance procedures, and extending equipment life. Vibration monitoring measures characteristics like amplitude and frequency to identify abnormal conditions. Common defects that can be detected through vibration analysis are unbalance, misalignment, loose components, rotor rub, bearing issues, and blade/vane pass frequencies. Online monitoring systems are used at thermal plants to continuously monitor critical equipment like turbines, generators, and pumps to detect faults early and avoid failures. Standards provide guidelines for effective vibration analysis and maintenance.
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This document discusses vibration monitoring and analysis. It defines vibration as the motion of mechanical parts back and forth from their neutral position, which is caused by induced forces and freedom of movement. Excessive vibration can have harmful effects like increased load on bearings, higher stresses on components, and reduced equipment efficiency. Common problems that cause vibration include unbalance, misalignment, looseness, and defects. Vibration monitoring involves measuring parameters like displacement, velocity, acceleration, and using tools like FFT analysis to identify frequencies associated with faults. Understanding phase and trends in vibration spectra over time helps with condition monitoring and predictive maintenance of machinery.
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This document summarizes a study on using piezoelectric materials to monitor the condition of rotating machines. Piezoelectric crystals generate voltage when subjected to vibration or strain. The document details how piezoelectric sensors were attached to a lathe machine to measure voltages from vibrations during different operations. Voltage readings were taken and calibration curves were generated to relate voltages to frequencies for condition monitoring. The results demonstrate the potential of using inexpensive piezoelectric sensors as an alternative to conventional vibration sensors for machine monitoring.
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A wide range of Condition monitoring techniques is available in the industries over the world and some have become standards in many industries.
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WHO SHOULD ATTEND?
This workshop is designed for personnel with a need to understand the techniques required to use and apply microcontroller technology as productively and economically as possible. This includes engineers and technicians involved with:
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Abnormal Situation Management and Intelligent Alarm Management is a very important DCS issue that provides significant advantages over PLC and SCADA systems.
Few DCSs do justice to the process in terms of controlling for superior performance – most of them merely do the basics and leave the rest to the operators. Operators tend to operate within their comfort zone; they don’t drive the process “like Vettel drives his Renault”. If more than one adverse condition developed at the same time and the system is too basic to act protectively, the operator would probably not be able to react adequately and risk a major deviation.
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The losses in process performance due to the inadequately developed control functionality and the operator’s utilisation of the system are invisible in the conventional plant and process performance evaluation and reporting system; that is why it is so hard to make the case for eliminating these losses. Accounting for the invisible losses due to inferior control is not a simple matter, technically and managerially; so it is rarely attempted. A few suggestions are given in dealing with this.
Why are DCS generally so underutilised? Often because the vendor minimises the applications software development costs to be sure of winning the job, or because he does not know enough about the process or if it is a green-field situation, enough could not be known at commissioning time but no allowance was made to add the missing functionality during the ramp-up phase. Often the client does not have the technical skills in-house to realise the desired functionality is missing or to adequately specify the desired functionality.
This workshop examines all these issues and gives suggestions in dealing with them and whilst not being by any means exhaustive provides an excellent starting point for you in working with a DCS.
MORE INFORMATION: http://www.idc-online.com/content/practical-distributed-control-systems-dcs-engineers-technicians-2
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