A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection-Reference-Cited by-同舟云学术

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A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection

Published:2017-01 Issue: Volume:116 Page:1-12
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wei Zexian,Wang Yanxue,He Shuilong,Bao Jiading

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Guangxi Experiment Center of Information Science

Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference29 articles.

1. Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: a review with applications;Wang;Mech. Syst. Signal Process.,2016

2. A rule-based intelligent method for fault diagnosis of rotating machinery;Dou;Knowl. Based Syst.,2012

3. A new approach to intelligent fault diagnosis of rotating machinery;Lei;Expert Syst. Appl.,2008

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

5. New clustering algorithm-based fault diagnosis using compensation distance evaluation technique;Lei;Mech. Syst. Signal Process.,2008

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