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A frequency-domain detection of stator winding faults in induction machines using an external flux sensor

Henao, H., Demian, C., Capolino, G.-A.·2003·IEEE Transactions on Industry Applications

Abstract

The aim of this paper is to present the advantage of stator fault detection using an external stray flux sensor in a working induction machine. In the past 20 years, stray flux sensors have been used for diagnostic purposes but rarely in the presence of a complex power supply such as a voltage static inverter. In this paper, it is proved that a simple external stray flux sensor is more efficient than the classical stator current signature analysis to detect inter-turn short circuit in three-phase induction machines. The new result is that, even in the presence of power supply harmonics, it is possible to easily detect the stator winding faults in the low-frequency range of the flux spectrum with low-frequency resolution.

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Metadata

Authors
Henao, H., Demian, C., & Capolino, G.-A.
Venue
IEEE Transactions on Industry Applications
Published
2003-09
Volume
39
Issue
5
Pages
1272-1279
ISSN
0093-9994 (ISSN-L)
OpenAlex
W2173731758
Cited by
361
References
4
FWCI
17.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A frequency-domain detection of stator winding faults in induction machines using an external flux sensor. https://app.cochat.ai/papers/10.1109/tia.2003.816531
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Henao, H., Demian, C., & Capolino, G.-A. (2003). A frequency-domain detection of stator winding faults in induction machines using an external flux sensor. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2003.816531

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