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Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals

Open access
Immovilli, F., Cocconcelli, M., Bellini, A., Rubini, R.·2009·IEEE Transactions on Industrial Electronics

Abstract

Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals.

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Metadata

Authors
Immovilli, F., Cocconcelli, M., Bellini, A., & Rubini, R.
Venue
IEEE Transactions on Industrial Electronics
Published
2009-11
Volume
56
Issue
11
Pages
4710-4717
ISSN
0278-0046 (ISSN-L)
OpenAlex
W2100187942
Cited by
201
References
1
FWCI
15.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals. https://app.cochat.ai/papers/10.1109/tie.2009.2025288
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Immovilli, F., Cocconcelli, M., Bellini, A., & Rubini, R. (2009). Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2009.2025288

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