An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis-Reference-Cited by-同舟云学术

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An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis

Published:2022-04 Issue: Volume:523 Page:116746
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Cheng Yao,Wang Shengbo,Chen Bingyan,Mei Guiming,Zhang Weihua,Peng Han,Tian Guangrong

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference35 articles.

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

2. Novel self-adaptive vibration signal analysis: concealed component decomposition and its application in bearing fault diagnosis;Tiwari;J. Sound Vib.,2021

3. Machinery health prognostics: a systematic review from data acquisition to RUL prediction;Lei;Mech. Syst. Signal Process.,2018

4. Minimum entropy deconvolution optimized sinusoidal synthesis and its application to vibration based fault detection;Li;J. Sound Vib.,2017

5. Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection;Mcdonald;Mech. Syst. Signal Process.,2012

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