Rolling element bearing fault detection using an improved combination of Hilbert and wavelet transforms

Journal of Mechanical Science and Technology ◽

10.1007/s12206-009-0807-4 ◽

2009 ◽

Vol 23 (12) ◽

pp. 3292-3301 ◽

Author(s):

Dong Wang ◽

Qiang Miao ◽

Xianfeng Fan ◽

Hong-Zhong Huang

Keyword(s):

Fault Detection ◽

Wavelet Transforms ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing

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Rolling Element Bearing Fault Detection Using Vibrating Signals Segmentation

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) ◽

10.1109/etfa.2018.8502555 ◽

2018 ◽

Author(s):

Theodor D. Popescu ◽

Dorel Aiordachioaie

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing

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Rolling Element Bearing Fault Detection Based on Pulse Wavelet Energy Spectrum Analysis

Journal of Information and Computational Science ◽

10.12733/jics20101993 ◽

2013 ◽

Vol 10 (11) ◽

pp. 3549-3559 ◽

Author(s):

Li Zhang

Keyword(s):

Energy Spectrum ◽

Fault Detection ◽

Spectrum Analysis ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Energy Spectrum Analysis ◽

Wavelet Energy ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet

Measurement ◽

10.1016/j.measurement.2011.06.011 ◽

2011 ◽

Vol 44 (9) ◽

pp. 1582-1591 ◽

Author(s):

Kun Feng ◽

Zhinong Jiang ◽

Wei He ◽

Qiang Qin

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault detection using support vector machine with improved ant colony optimization

Measurement ◽

10.1016/j.measurement.2013.04.081 ◽

2013 ◽

Vol 46 (8) ◽

pp. 2726-2734 ◽

Author(s):

Xu Li ◽

A’nan Zheng ◽

Xunan Zhang ◽

Chenchen Li ◽

Li Zhang

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Ant Colony Optimization ◽

Rolling Element Bearing ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault detection using PPCA and spectral kurtosis

Measurement ◽

10.1016/j.measurement.2015.07.045 ◽

2015 ◽

Vol 75 ◽

pp. 180-191 ◽

Author(s):

Jiawei Xiang ◽

Yongteng Zhong ◽

Haifeng Gao

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Spectral Kurtosis ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault detection: Combining energy operator demodulation and wavelet packet transform

2011 Prognostics and System Health Managment Confernece ◽

10.1109/phm.2011.5939547 ◽

2011 ◽

Author(s):

Chao Tang ◽

Qiang Miao ◽

Michael Pecht

Keyword(s):

Fault Detection ◽

Wavelet Packet ◽

Energy Operator ◽

Wavelet Packet Transform ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing

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A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2011.09.010 ◽

2012 ◽

Vol 25 (2) ◽

pp. 326-344 ◽

Author(s):

K.C. Gryllias ◽

I.A. Antoniadis

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Physical Model ◽

Rolling Element Bearing ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Element Bearing ◽

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A weighted multi-scale morphological gradient filter for rolling element bearing fault detection

ISA Transactions ◽

10.1016/j.isatra.2011.06.003 ◽

2011 ◽

Vol 50 (4) ◽

pp. 599-608 ◽

Author(s):

Bing Li ◽

Pei-lin Zhang ◽

Zheng-jun Wang ◽

Shuang-shan Mi ◽

Dong-sheng Liu

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Multi Scale ◽

Morphological Gradient ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault detection in industrial environments based on a K-means clustering approach

Expert Systems with Applications ◽

10.1016/j.eswa.2010.08.083 ◽

2011 ◽

Vol 38 (3) ◽

pp. 2888-2911 ◽

Author(s):

C.T. Yiakopoulos ◽

K.C. Gryllias ◽

I.A. Antoniadis

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Rolling Element ◽

Clustering Approach ◽

Element Bearing ◽

Industrial Environments

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Rolling element bearing fault detection using density-based clustering

2014 International Conference on Prognostics and Health Management ◽

10.1109/icphm.2014.7036387 ◽

2014 ◽

Author(s):

Jing Tian ◽

Michael H. Azarian ◽

Michael Pecht

Keyword(s):

Fault Detection ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Density Based Clustering ◽

Rolling Element ◽

Element Bearing

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