A weighted multi-scale morphological gradient filter for rolling element bearing fault detection-Reference-Cited by-同舟云学术

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A weighted multi-scale morphological gradient filter for rolling element bearing fault detection

Published:2011-10 Issue:4 Volume:50 Page:599-608
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Li Bing,Zhang Pei-lin,Wang Zheng-jun,Mi Shuang-shan,Liu Dong-sheng

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings;Tandon;Tribology International,1999

2. The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals;Randall;Mechanical Systems and Signal Processing,2001

3. A complex filter for vibration signal demodulation in bearing defect diagnosis;Sheen;Journal of Sound and Vibration,2004

4. Pattern classification by a neurofuzzy network: application to vibration monitoring;Meesad;ISA Transactions,2000

5. Fault classification on vibration data with wavelet based feature selection scheme;Yen;ISA Transactions,2006

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