Sensorless, online motor diagnostics

Early detection of abnormalities in electric motors helps to avoid expensive failures. Motor current signature analysis (MCSA) implemented in a computer-based motor monitor can contribute to such condition-based maintenance functions. Such a system may also detect an abnormality in the process as we...

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Bibliographic Details
Published in:IEEE computer applications in power 1997-04, Vol.10 (2), p.39-43
Main Authors: Kliman, G.B., Premerlani, W.J., Yazici, B., Koegl, R.A., Mazereeuw, J.
Format: Article
Language:English
Subjects:
Applied sciences
Circuit faults
Computerized monitoring
Condition monitoring
Data processing
Electric motors
Electrical engineering. Electrical power engineering
Electrical fault detection
Electrical machines
Electromechanical devices
Exact sciences and technology
Fault diagnosis
Micromotors
Protection
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Summary:Early detection of abnormalities in electric motors helps to avoid expensive failures. Motor current signature analysis (MCSA) implemented in a computer-based motor monitor can contribute to such condition-based maintenance functions. Such a system may also detect an abnormality in the process as well as the motor. Extensive online monitoring of the motors can lead to greater plant availability, extended plant life, higher quality product, and smoother plant operation. With advances in digital technology over the last several years, adequate data processing capability is now available on cost-effective, microprocessor-based, protective-relay platforms to monitor motors for a variety of abnormalities in addition to the normal protection functions. Such multifunction monitors, are displacing the multiplicity of electromechanical devices commonly applied for many years. Following some background information on motor monitoring, this article features recent developments in providing tools for the diagnosis of faults or incipient faults in electric motor drives, including: sensorless torque measurement; direct detection of turn-to-turn short circuits; detection of cracked or broken rotor bars; and detection of bearing deterioration.
ISSN:0895-0156
1558-4151
DOI:10.1109/67.582451