Rolling bearing fault detection using correlation technique

Xu Yin-ge; Yan Yu-ling

doi:10.1007/bf02456084

Rolling bearing fault detection using correlation technique

Applied Mathematics and Mechanics ◽

10.1007/bf02456084 ◽

1992 ◽

Vol 13 (7) ◽

pp. 617-622

Author(s):

Xu Yin-ge ◽

Yan Yu-ling

Keyword(s):

Fault Detection ◽

Rolling Bearing ◽

Correlation Technique ◽

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 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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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 ◽

Cited By ~ 4

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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Computational intelligence methods for rolling bearing fault detection

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-015-0458-6 ◽

2015 ◽

Vol 38 (6) ◽

pp. 1565-1574 ◽

Cited By ~ 2

Author(s):

Nikos Katsifarakis ◽

Marina Riga ◽

Dimitris Voukantsis ◽

Kostas Karatzas

Keyword(s):

Fault Detection ◽

Computational Intelligence ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Computational Intelligence Methods

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Rolling bearing fault detection using an adaptive lifting multiwavelet packet with a ${{\rm 1}\frac{{\rm 1}}{{\rm 2}}}$ dimension spectrum

Measurement Science and Technology ◽

10.1088/0957-0233/24/12/125002 ◽

2013 ◽

Vol 24 (12) ◽

pp. 125002 ◽

Cited By ~ 12

Author(s):

Hongkai Jiang ◽

Yong Xia ◽

Xiaodong Wang

Keyword(s):

Fault Detection ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Dimension Spectrum

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Rolling bearing fault detection of electric motor using time domain and frequency domain features extraction and ANFIS

IET Electric Power Applications ◽

10.1049/iet-epa.2018.5274 ◽

2019 ◽

Vol 13 (5) ◽

pp. 662-669 ◽

Cited By ~ 4

Author(s):

Hamed Helmi ◽

Ahmad Forouzantabar

Keyword(s):

Fault Detection ◽

Frequency Domain ◽

Time Domain ◽

Electric Motor ◽

Rolling Bearing ◽

Features Extraction ◽

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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Low Speed Rolling Bearing Fault Detection Using AE Signal Analyzed By Envelop Analysis Added DWT

Journal of the Korean Society of Marine Engineering ◽

10.5916/jkosme.2009.33.5.672 ◽

2009 ◽

Vol 33 (5) ◽

pp. 672-678 ◽

Cited By ~ 1

Author(s):

Byeong-Su Kim ◽

Won-Cheol Kim ◽

Dong-Sik Gu ◽

Jae-Gu Kim ◽

Byeong-Keun Choi

Keyword(s):

Fault Detection ◽

Rolling Bearing ◽

Low Speed ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Ae Signal

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Hyper-spherical distance discrimination: A novel data description method for aero-engine rolling bearing fault detection

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2018.01.009 ◽

2018 ◽

Vol 109 ◽

pp. 330-351 ◽

Cited By ~ 20

Author(s):

Tong Lin ◽

Guo Chen ◽

Wenli Ouyang ◽

Quande Zhang ◽

Hongwei Wang ◽

...

Keyword(s):

Fault Detection ◽

Rolling Bearing ◽

Data Description ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Aero Engine ◽

Spherical Distance ◽

Distance Discrimination

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