Multiclass Support Vector Machine Based Bearing Fault Detection Using Vibration Signal Analysis-Reference-Cited by-同舟云学术

Multiclass Support Vector Machine Based Bearing Fault Detection Using Vibration Signal Analysis

Published:2020-09-30 Issue: Volume: Page:885-895
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Attoui Issam,Fergani Nadir,Boutasseta Nadir,Oudjani Brahim,Bouakkaz Mohammed Salah,Bouraiou Ahmed

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6403-1_61

Reference29 articles.

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3. Attoui I, Omeiri A (2015) Fault diagnosis of an induction generator in a wind energy conversion system using signal processing techniques. Electr Power Compon Syst 43(20):2262–2275

4. Thorsen OV, Dalva M (1999) Failure identification and analysis for high-voltage induction motors in the petrochemical industry. IEEE Trans Ind Appl 35(4):810–818

5. Motor Reliability Working Group (1985) Report of large motor reliability survey of industrial and commercial installations, Part I. IEEE Trans Ind Appl IA-21(4):853–864

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