A new time–frequency method for identification and classification of ball bearing faults-Reference-Cited by-同舟云学术

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A new time–frequency method for identification and classification of ball bearing faults

Published:2017-06 Issue: Volume:397 Page:241-265
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Attoui Issam,Fergani Nadir,Boutasseta Nadir,Oudjani Brahim,Deliou Adel

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference73 articles.

1. Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference;Zhang;Expert Syst. Appl.,2010

2. Residual life predictions from vibration-based degradation signals: a neural network approach;Gebraeel;IEEE Trans. Ind. Electron.,2004

3. Failure and analysis for high-voltage induction motors in the petrochemical industry;Thorsen;IEEE Trans. Ind. Appl.,1999

4. Report of large motor reliability survey of industrial and commercial installations—part I;O’Donnell;IEEE Trans. Ind. Appl.,1985

5. The application of high-resolution spectral analysis for identifying multiple combined faults in induction motors;Garcia-Perez;IEEE Trans. Ind. Electron.,2011

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