Fault Detection and Diagnostics for Non-Intrusive Monitoring Using Motor Harmonics
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Kirtley_Fault detection.pdf
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981.8 KB
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Author(s)
Orji, Uzoma A.
Remscrim, Zachary N.
Laughman, Christopher Reed
Leeb, Steven B.
Wichakool, Warit
Schantz, Christopher James
Cox, Robert A.
Paris, James
Kirtley, James L., Jr.
Norford, Leslie Keith
Date Issued
March 2010
Journal
Proceedings of the Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2010
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Orji, Uzoma A. et al. “Fault Detection and Diagnostics for Non-intrusive Monitoring Using Motor Harmonics.” Proceedings of the Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2010. 1547–1554. © Copyright 2010 IEEE
Version
Final published version
Abstract
Harmonic analysis of motor current has been used to track the speed of motors for sensorless control. Algorithms exist that track the speed of a motor given a dedicated stator current measurement, for example. Harmonic analysis has also been applied for diagnostic detection of electro-mechanical faults such as damaged bearings and rotor eccentricity. This paper demonstrates the utility of harmonic analysis for fault detection and diagnostics in non-intrusive monitoring applications, where multiple loads are tracked by a sensor monitoring only the aggregate utility service. An optimization routine is implemented to maintain accuracy of speed estimation while using shorter lengths of data.
MIT Department
Massachusetts Institute of Technology. Department of Architecture
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/APEC.2010.5433437
