Clustering diagnosis of rolling element bearing fault based on integrated Autoregressive/Autoregressive Conditional Heteroscedasticity model-Reference-Cited by-同舟云学术

Clustering diagnosis of rolling element bearing fault based on integrated Autoregressive/Autoregressive Conditional Heteroscedasticity model

Published:2012-09 Issue:19 Volume:331 Page:4379-4387
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Wang Guofeng,Liu Chang,Cui Yinhu

Publisher

Elsevier BV

Subject

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

Reference19 articles.

1. A comparison of autoregressive modeling techniques for fault diagnosis of rolling element bearings;Baillie;Mechanical Systems and Signal Processing,1996

2. HMM-based fault detection and diagnosis scheme for rolling element bearings;Ocak;Journal of Vibration and Acoustics,2005

3. S. Thanagasundram, F.S. Schlindwein, Autoregressive based Diagnostics Scheme for Detection of Bearing Faults, in: Proceedings of ISMA2006 Noise and Vibration Engineering Conference, Leuven, Belgium, 2006, pp. 3531–3546.

4. A fault detection tool using analysis from an autoregressive model pole trajectory;Thanagasundram;Journal of Sound and Vibration,2008

5. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation;Engle;Econometrica,1982

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