A novel method of composite multiscale weighted permutation entropy and machine learning for fault complex system fault diagnosis-Reference-Cited by-同舟云学术

A novel method of composite multiscale weighted permutation entropy and machine learning for fault complex system fault diagnosis

Published:2020-07 Issue: Volume:158 Page:107748
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

He Cheng,Wu Tao,Liu Changchun,Chen Tong

Funder

Shanghai Polytechnic University

Publisher

Elsevier BV

Subject

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

Reference47 articles.

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3. Non-uniform wavelet bandpass sampling analog-to-information converter: a hardware implementation and its experimental assessment;De Vito;Measur.: J. Int. Measur. Confederation,2019

4. Fault diagnosis of rolling bearings based on variational mode decomposition and permutation entropy;Zheng;J. Vib. Shock,2017

5. Adaptive determination of fundamental frequency for direct time-domain averaging;Xu;Measurement,2018

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