Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm-Reference-Cited by-同舟云学术

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Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm

Published:2021-06 Issue: Volume:178 Page:109389
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Vashishtha Govind,Chauhan Sumika,Singh Manpreet,Kumar Rajesh

Funder

All India Council for Technical Education

Publisher

Elsevier BV

Subject

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

Reference55 articles.

1. Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump;Kumar;Appl. Acoust.,2020

2. Perceptive analysis of bearing defects (Contribution to vibration monitoring);Laissaoui;Appl. Acoust.,2018

3. Bearing defect size assessment using wavelet transform based Deep Convolutional Neural Network (DCNN);Kumar;Alexandria Eng. J.,2020

4. Outer race defect width measurement in taper roller bearing using discrete wavelet transform of vibration signal;Kumar;Measurement,2013

5. Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations;Li;Renew. Energy,2018

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