Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method-Reference-Cited by-同舟云学术

Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method

Published:2014-06 Issue: Volume:133 Page:309-316
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Jin Min,Li Ren,Xu Zengbing,Zhao Xudong

Funder

National Scientific and Technological Achievement Transformation Project of China

Electronic Information Industry Development Fund of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, Hunan University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis;Lin;J. Sound Vib.,2000

2. Wavelet analysis and envelop detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities;Tse;Trans. ASME: J. Vib. Acoust.,2001

3. Engineering signal processing based on adaptive step-changed stochastic resonance;Li;Mech. Syst. Signal Process.,2007

4. Study on non-linear filter characteristic and engineering application of cascaded bistable stochastic resonance system;He;Mech. Syst. Signal Process.,2007

5. Automated fault detection and accommodation: a learning system approach;Polycarpou;IEEE Trans. Syst. Man Cybern.,1995

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