Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection. Mbo'o, C. P. & Hameyer, K. IEEE Transactions on Industry Applications, 52(5):3861–3868, 2016.
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Paper doi bibtex
Paper doi bibtex @article{Mboo.2016,
author = {Mbo'o, Christelle Piantsop and Hameyer, Kay},
year = {2016},
title = {{Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection}},
keywords = {Bayes classifier;bearing damage;fault diagnosis;linear discriminant analysis(LDA);permanent magnet synchronous machine;spectral analysis;stator current},
pages = {3861--3868},
volume = {52},
number = {5},
journal = {{IEEE Transactions on Industry Applications}},
doi = {10.1109/TIA.2016.2581139},
url = {http://bib.iem.rwth-aachen.de/IEMpublications/2016CpMFault.pdf}
}Downloads: 0
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