Bearing Fault Detection via Stator Current Noise Cancellation and Statistical Control
Zhou, W. Habetler, T.G. Harley, R.G.
Wei Zhou is with Midwest ISO, Carmel, IN 46032 USA. (email: weizhou@ece.gatech.edu).;
This paper appears in: Industrial Electronics, IEEE Transactions on Accepted for future publication
First Published:
2008-08-26
ISSN: 0278-0046
Digital Object Identifier: 10.1109/TIE.2008.2004377
Abstract
1This paper proposes a new approach to detect in situ bearing faults via stator current monitoring. For in situ bearing faults, the characteristic bearing faults frequencies may not exist, especially at an early stage. In addition, bearing fault signatures are usually subtle, compared to the dominant components in the sampled stator current. Therefore, in this research, a noise cancellation technique is used to suppress those dominant components which are not related to a potential bearing fault. The remaining components, i.e. the noise-cancelled stator current, are then closely related to the health condition of the bearing. Further more, it is observed that under the presence of a bearing fault, the noise-cancelled stator current displays significant amount of degrees of uncontrolled variation in its magnitude. The uncontrolled variation is detected by observing the samples falling outside the three-sigma limits on the Shewharts control charts. Therefore, it is possible to detect in situ bearing faults by detecting the variation in the magnitude of the noise cancelled stator current, as verified by on-line experiments performed in this research.
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