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Motor bearing damage detection using stator current monitoring

Schoen, R.R., Habetler, T.G., Kamran, F., Bartfield, R.G.·1995·IEEE Transactions on Industry Applications

Abstract

This paper addresses the application of motor current spectral analysis for the detection of rolling-element bearing damage in induction machines. Vibration monitoring of mechanical bearing frequencies is currently used to detect the presence of a fault condition. Since these mechanical vibrations are associated with variations in the physical air gap of the machine, the air gap flux density is modulated and stator currents are generated at predictable frequencies related to the electrical supply and vibrational frequencies. This paper takes the initial step of investigating the efficacy of current monitoring for bearing fault detection by correlating the relationship between vibration and current frequencies caused by incipient bearing failures. The bearing failure modes are reviewed and the characteristic bearing frequencies associated with the physical construction of the bearings are defined. The effects on the stator current spectrum are described and the related frequencies determined. This is an important result in the formulation of a fault detection scheme that monitors the stator currents. Experimental results which show the vibration and current spectra of an induction machine with different bearing faults are used to verify the relationship between the vibrational and current frequencies. The test results clearly illustrate that the stator current signature can be used to identify the presence of a bearing fault.

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Metadata

Authors
Schoen, R. R., Habetler, T. G., Kamran, F., & Bartfield, R. G.
Venue
IEEE Transactions on Industry Applications
Published
1995
Volume
31
Issue
6
Pages
1274-1279
ISSN
0093-9994 (ISSN-L)
OpenAlex
W4232447824
Cited by
761
References
0
FWCI
3.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Motor bearing damage detection using stator current monitoring. https://app.cochat.ai/papers/10.1109/28.475697
The paper
Schoen, R. R., Habetler, T. G., Kamran, F., & Bartfield, R. G. (1995). Motor bearing damage detection using stator current monitoring. IEEE Transactions on Industry Applications. https://doi.org/10.1109/28.475697

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.