Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings-Reference-Cited by-同舟云学术

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Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings

Published:2019-12 Issue: Volume:147 Page:106856
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Yan Xiaoan,Liu Ying,Jia Minping

Funder

National Natural Science Foundation of China

Postgraduate Research ＆ Practice Innovation Program of Jiangsu Province, China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference47 articles.

1. Rolling element bearing diagnostics—a tutorial;Randall;Mech. Syst. Signal Process.,2011

2. Research and application of improved adaptive MOMEDA fault diagnosis method;Wang;Measurement,2019

3. Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings;Rubini;Mech. Syst. Signal Process.,2001

4. A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings;Rai;Tribol. Int.,2016

5. Early fault feature extraction of rolling bearing based on ICD and tunable Q-factor wavelet transform;Li;Mech. Syst. Signal Process.,2017

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