Rotating machinery fault diagnosis based on multivariate multiscale fuzzy distribution entropy and Fisher score-Reference-Cited by-同舟云学术

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Rotating machinery fault diagnosis based on multivariate multiscale fuzzy distribution entropy and Fisher score

Published:2021-07 Issue: Volume:179 Page:109495
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ma Yanli,Cheng Junsheng,Wang Ping,Wang Jian,Yang Yu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis;Cheng;Mech. Syst. Signal Process.,2021

2. Symplectic weighted sparse support matrix machine for gear fault diagnosis;Li;Measurement,2021

3. A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis;Li;Comput. Ind.,2019

4. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings;Yang;Mech. Syst. Signal Process.,2019

5. Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis;Li;Knowl.-Based Syst.,2021

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