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Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings

  • Published:2019-05 Issue: Volume:88 Page:199-215
  • ISSN:0019-0578
  • Container-title:ISA Transactions
  • language:en
  • Short-container-title:ISA Transactions

Author:

Ding Chuancang,Zhao Ming,Lin Jing,Jiao Jinyang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference53 articles.

1. Rolling element bearing diagnostic - A tutorial;Randall;Mech Syst Signal Process,2011

2. Vibration-based condition monitoring: Industrial, aerospace and automotive applications.pdf;Randall,2011

3. Application of an improved kurtogram method for fault diagnosis of rolling element bearings;Lei;Mech Syst Signal Process,2011

4. Model for the vibration produced by a single point defect in a rolling element bearing;McFadden;J Sound Vib,1983

5. Identification of multiple transient faults based on the adaptive spectral kurtosis method;Wang;J Sound Vib,2012

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