Fault Detection and Diagnostics for Non-Intrusive Monitoring Using Motor Harmonics
DownloadKirtley_Fault detection.pdf (981.7Kb)
PUBLISHER_POLICY
Publisher Policy
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.
Terms of use
Metadata
Show full item recordAbstract
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.
Date issued
2010-03Department
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 EngineeringJournal
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
ISBN
978-1-4244-4783-1
978-1-4244-4782-4
ISSN
1048-2334