Rolling bearing fault diagnosis based on composite multiscale permutation entropy and reverse cognitive fruit fly optimization algorithm – Extreme learning machine-Reference-Cited by-同舟云学术

Rolling bearing fault diagnosis based on composite multiscale permutation entropy and reverse cognitive fruit fly optimization algorithm – Extreme learning machine

Published:2021-03 Issue: Volume:173 Page:108636
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

He Cheng,Wu Tao,Gu Runwei,Jin Zhongyan,Ma Renjie,Qu Huaying

Funder

“Mechanical Engineering” school-level key discipline construction project

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. An enhancement denoising autoencoder for rolling bearing fault diagnosis;Meng;Measurement,2018

2. A multi-sensor approach to remaining useful life estimation for a slurry pump;Tse;Measurement,2019

3. Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals;Glowacz;Measurement,2018

4. Fault diagnosis method of rolling bearings based on generalized composite multiscale permutation entropy and PCA;Zheng;Vib. Shock,2018

5. Fault diagnosis of rolling bearings based on multiscale permutation entropy;Chen;Mech. Engineer,2019

Cited by 83 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive residual spectral amplitude modulation: A new approach for bearing diagnosis under complex interference environments;Mechanical Systems and Signal Processing;2024-11

2. A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis;Engineering Applications of Artificial Intelligence;2024-10

3. Rotating machinery fault diagnosis based on parameter-optimized variational mode decomposition;Digital Signal Processing;2024-10

4. Sensitivity analysis and comparative assessment of novel hybridized boosting method for forecasting the power consumption;Expert Systems with Applications;2024-09

5. Remaining useful life prediction of rolling bearing via composite multiscale permutation entropy and Elman neural network;Engineering Applications of Artificial Intelligence;2024-09