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A review of induction motors signature analysis as a medium for faults detection

El Hachemi Benbouzid, M.·2000·IEEE Transactions on Industrial Electronics
DOI 10.1109/41.873206
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Abstract

This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without "state-of-the-art" terminology for the benefit of practising engineers in facilities today who may not be familiar with signal processing.

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Research works printed but not linked: 55

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Metadata

Authors
El Hachemi Benbouzid, M.
Venue
IEEE Transactions on Industrial Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2000
Volume
47
Issue
5
Pages
984-993
ISSN
0278-0046 (ISSN-L)
DOI
10.1109/41.873206
OpenAlex
W2132265582
Cited by
1,602
References
0
FWCI
27.04
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: A review of induction motors signature analysis as a medium for faults detection. https://app.cochat.ai/papers/10.1109/41.873206
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El Hachemi Benbouzid, M. (2000). A review of induction motors signature analysis as a medium for faults detection. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/41.873206

Data sources

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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.