Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems
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Published By Institution Of Engineering And Technology

9781785619571, 9781785619588

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Kullback–Leibler divergence for incipient fault diagnosis

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_ch3 ◽

2020 ◽

pp. 87-118

Author(s):

Claude Delpha ◽

Demba Diallo

Keyword(s):

Fault Diagnosis ◽

Leibler Divergence ◽

Incipient Fault ◽

Incipient Fault Diagnosis

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Front Matter

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_fm ◽

2020 ◽

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Introduction

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_itr ◽

2020 ◽

pp. 1-2

Author(s):

Mohamed Benbouzid ◽

Demba Diallo

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The signal demodulation techniques

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_ch2 ◽

2020 ◽

pp. 51-83

Author(s):

Yassine Amirat ◽

Mohamed Benbouzid

Keyword(s):

Signal Demodulation

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Back Matter

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_bm ◽

2020 ◽

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Higher-order spectra

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_ch4 ◽

2020 ◽

pp. 119-202

Author(s):

Lotfi Saidi

Keyword(s):

Higher Order ◽

Higher Order Spectra

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Parametric signal processing approach

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_ch1 ◽

2020 ◽

pp. 3-50

Author(s):

Elhoussin Elbouchikhi ◽

Mohamed Benbouzid

Keyword(s):

Signal Processing ◽

Processing Approach

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Fault detection and diagnosis based on principal component analysis

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_ch5 ◽

2020 ◽

pp. 203-258

Author(s):

Tianzhen Wang

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

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Conclusion

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems ◽

10.1049/pbpo153e_conc ◽

2020 ◽

pp. 259-260

Author(s):

Mohamed Benbouzid ◽

Demba Diallo

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Signal Processing for Fault Detection and Diagnosis in Electric Machines and SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Institution Of Engineering And Technology

Kullback–Leibler divergence for incipient fault diagnosis

Front Matter

Introduction

The signal demodulation techniques

Back Matter

Higher-order spectra

Parametric signal processing approach

Fault detection and diagnosis based on principal component analysis

Conclusion

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems
Latest Publications