Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition-Reference-Cited by-同舟云学术

Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition

Published:2005-12 Issue:8 Volume:38 Page:654-664
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Purushotham V.,Narayanan S.,Prasad Suryanarayana A.N.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference21 articles.

1. Model for vibration produced by a single point defect in a rolling element bearing;Mc Fadden;J Sound Vib,1984

2. The vibration produced by multiple point defects in a rolling element bearing;Mc Fadden;J Sound Vib,1985

3. Braun S, Danter B. Analysis of roller/ball bearing vibrations, ASME paper. 77-WA/DE-5; 1977. p. 1–8.

4. Chaturvedi GK, Thomas DW. Bearing fault detection using adaptive noise canceling ASME paper, 81-DET-7; 1981. p. 1–10.

5. Prasad H, Ghosh M, Biswas S. Diagnostic monitoring of rolling element bearings by high frequency resonance technique ASLE paper 84-LC-3c3; 1984. p. 1–9.

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