A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion-Reference-Cited by-同舟云学术

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A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion

Published:2016-01 Issue: Volume:171 Page:837-853
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qu Jinxiu,Zhang Zhousuo,Gong Teng

Funder

National Natural Science Foundation of China

NSAF of China

Postdoctoral Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs;Lei;Mech. Syst. Signal Process.,2007

2. Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings;Liu;Neurocomputing,2013

3. Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform;Kankar;Neurocomputing,2013

4. LMD method and multi-class RWSVM of fault diagnosis for rotating machinery using condition monitoring information;Liu;Sensors,2013

5. Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method;Jin;Neurocomputing,2014

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