A sparse measurement matrix based method for feature enhancement of bearing fault signal-Reference-Cited by-同舟云学术

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A sparse measurement matrix based method for feature enhancement of bearing fault signal

Published:2021-06 Issue: Volume:177 Page:107903
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Meng Zong,Zhang Guangya,Pan Zuozhou,Gao Wenqing,Gao Hanpeng,Fan Fengjie

Funder

Natural Science Foundation of Hebei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference31 articles.

1. A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning;Yu;Mech Syst Sig Process,2021

2. A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings;Pan;Mech Syst Sig Process,2020

3. An enhanced convolutional neural network for bearing fault diagnosis based on time-frequency image;Zhang;Measurement,2020

4. A feature extraction method using improved multi-scale entropy for rolling bearing fault diagnosis;Ju;Entropy,2018

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

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