A rolling bearing fault detection method based on compressed sensing and a neural network

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2020313 ◽

2020 ◽

Vol 17 (5) ◽

pp. 5864-5882

Author(s):

Lu Lu ◽

◽

Jiyou Fei ◽

Ling Yu ◽

Yu Yuan ◽

...

Keyword(s):

Neural Network ◽

Fault Detection ◽

Compressed Sensing ◽

Detection Method ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

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Research on a Rolling Bearing Fault Detection Method with Wavelet Convolution Deep Transfer Learning

IEEE Access ◽

10.1109/access.2021.3067152 ◽

2021 ◽

pp. 1-1

Author(s):

Mengliang Liao ◽

Chang Liu ◽

Cong Wang ◽

Jianwei Yang

Keyword(s):

Fault Detection ◽

Transfer Learning ◽

Detection Method ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

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A Novel Rolling Bearing Fault Detection Method based on Wavelet Transform and Empirical Mode Decomposition

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865967 ◽

2019 ◽

Author(s):

Xiaoqin Wen ◽

Linru You

Keyword(s):

Wavelet Transform ◽

Fault Detection ◽

Empirical Mode Decomposition ◽

Detection Method ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Mode Decomposition

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Bearing Fault Detection Method Based on Convolutional Neural Network

2020 International Conference on Computer Information and Big Data Applications (CIBDA) ◽

10.1109/cibda50819.2020.00057 ◽

2020 ◽

Author(s):

Kangbo Liu ◽

Jitao Xing ◽

Menglin Ji

Keyword(s):

Neural Network ◽

Fault Detection ◽

Convolutional Neural Network ◽

Detection Method ◽

Bearing Fault ◽

Bearing Fault Detection

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An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation

ISA Transactions ◽

10.1016/j.isatra.2020.02.031 ◽

2020 ◽

Vol 102 ◽

pp. 335-346 ◽

Author(s):

Jimeng Li ◽

Qingwen Yu ◽

Xiangdong Wang ◽

Yungang Zhang

Keyword(s):

Fault Detection ◽

Detection Method ◽

Rolling Bearing ◽

Sparse Code ◽

Spectral Correlation ◽

Bearing Fault ◽

Bearing Fault Detection

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A Bearing Fault Detection Method Base on Compressed Sensing

Lecture Notes in Mechanical Engineering - Engineering Asset Management - Systems, Professional Practices and Certification ◽

10.1007/978-3-319-09507-3_69 ◽

2014 ◽

pp. 789-798 ◽

Author(s):

Zhang Xinpeng ◽

Hu Niaoqing ◽

Cheng Zhe

Keyword(s):

Fault Detection ◽

Compressed Sensing ◽

Detection Method ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Transmission System Bearing Fault Detection Method Based on Modulated Signal Bi-spectrum Analysis

10.1109/phm-nanjing52125.2021.9613121 ◽

2021 ◽

Author(s):

Lun Zhang ◽

Yi Yang ◽

Zhengyang Yin ◽

Yuehao Li ◽

Ling Chen ◽

...

Keyword(s):

Fault Detection ◽

Spectrum Analysis ◽

Detection Method ◽

Transmission System ◽

Bearing Fault ◽

Bearing Fault Detection

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Improved local cepstrum and its applications for gearbox and rolling bearing fault detection

Measurement Science and Technology ◽

10.1088/1361-6501/ab1235 ◽

2019 ◽

Vol 30 (7) ◽

pp. 075007 ◽

Author(s):

Xining Zhang ◽

Rongtong Zhou ◽

Wenwen Zhang

Keyword(s):

Fault Detection ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

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Research on feature extraction for rolling bearing fault detection in wind turbine

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8243692 ◽

2017 ◽

Author(s):

Xiaolei Li ◽

Xiaobing Shi ◽

Pengli Ding ◽

Linlin Xiao

Keyword(s):

Feature Extraction ◽

Fault Detection ◽

Wind Turbine ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

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Rolling Bearing Fault Diagnosis Using Enhanced Convolutional Neural Network with Compressed Sensing

2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC) ◽

10.1109/sdpc.2018.8665008 ◽

2018 ◽

Author(s):

Tianchen Liang ◽

Jiayao Wang ◽

Haoyu Wang ◽

Shuaipeng Wu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Compressed Sensing ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Fast and robust neural network based wheel bearing fault detection with optimal wavelet features

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

10.1109/ijcnn.2002.1007461 ◽

2003 ◽

Author(s):

Peng Xu ◽

A.K. Chan

Keyword(s):

Neural Network ◽

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Wavelet Features ◽

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