Rotating machinery fault diagnosis based on improver resonance sparse decomposition

Wei Yang; Hongjun Wang

doi:10.1049/joe.2018.9123

Rotating machinery fault diagnosis based on improver resonance sparse decomposition

The Journal of Engineering ◽

10.1049/joe.2018.9123 ◽

2019 ◽

Vol 2019 (23) ◽

pp. 8848-8851

Author(s):

Wei Yang ◽

Hongjun Wang

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Sparse Decomposition ◽

Machinery Fault Diagnosis

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Fast Nonlinear Chirplet Dictionary-Based Sparse Decomposition for Rotating Machinery Fault Diagnosis Under Nonstationary Conditions

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2019.2900886 ◽

2019 ◽

Vol 68 (12) ◽

pp. 4736-4745 ◽

Cited By ~ 1

Author(s):

Boyuan Yang ◽

Zhibo Yang ◽

Ruobin Sun ◽

Zhi Zhai ◽

Xuefeng Chen

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Sparse Decomposition ◽

Nonstationary Conditions ◽

Machinery Fault Diagnosis

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THE APPLICATION OF SOME NON-LINEAR METHODS IN ROTATING MACHINERY FAULT DIAGNOSIS

Mechanical Systems and Signal Processing ◽

10.1006/mssp.2000.1316 ◽

2001 ◽

Vol 15 (4) ◽

pp. 697-705 ◽

Cited By ~ 65

Author(s):

W.J. WANG ◽

J. CHEN ◽

X.K. WU ◽

Z.T. WU

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Non Linear ◽

Machinery Fault Diagnosis

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TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis

2017 13th IEEE Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2017.8256162 ◽

2017 ◽

Author(s):

Zhibin Zhao ◽

Xuefeng Chen ◽

Baoqing Ding ◽

Shuming Wu

Keyword(s):

Fault Diagnosis ◽

Dictionary Learning ◽

Rotating Machinery ◽

Multi Scale ◽

Machinery Fault Diagnosis

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Digital Twin for rotating machinery fault diagnosis in smart manufacturing

International Journal of Production Research ◽

10.1080/00207543.2018.1552032 ◽

2018 ◽

Vol 57 (12) ◽

pp. 3920-3934 ◽

Cited By ~ 48

Author(s):

Jinjiang Wang ◽

Lunkuan Ye ◽

Robert X. Gao ◽

Chen Li ◽

Laibin Zhang

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Smart Manufacturing ◽

Digital Twin ◽

Machinery Fault Diagnosis

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Feature models and condition visualization for rotating machinery fault diagnosis

2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS) ◽

10.1109/icecs.2013.6815405 ◽

2013 ◽

Author(s):

Thomas W. Rauber ◽

Francisco de Assis Boldt ◽

Flavio M. Varejao ◽

Marcos Pellegrini Ribeiro

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Feature Models ◽

Machinery Fault Diagnosis

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Multiwavelet construction via an adaptive symmetric lifting scheme and its applications for rotating machinery fault diagnosis

Measurement Science and Technology ◽

10.1088/0957-0233/20/4/045103 ◽

2009 ◽

Vol 20 (4) ◽

pp. 045103 ◽

Cited By ~ 33

Author(s):

Xiaodong Wang ◽

Yanyang Zi ◽

Zhengjia He

Keyword(s):

Fault Diagnosis ◽

Lifting Scheme ◽

Rotating Machinery ◽

Symmetric Lifting ◽

Machinery Fault Diagnosis

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Artificial Immune System Used in Rotating Machinery Fault Diagnosis

Proceedings of the 2015 Chinese Intelligent Automation Conference - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-662-46463-2_8 ◽

2015 ◽

pp. 65-74 ◽

Cited By ~ 1

Author(s):

Linhui Zhao ◽

Lihua Zhou ◽

Yaping Dai ◽

Zhongjian Dai

Keyword(s):

Immune System ◽

Fault Diagnosis ◽

Artificial Immune System ◽

Rotating Machinery ◽

Artificial Immune ◽

Machinery Fault Diagnosis

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Degree of Cyclic Target Protrusion Defined on Squared Envelope Spectrum for Rotating Machinery Fault Diagnosis

Measurement ◽

10.1016/j.measurement.2021.110634 ◽

2021 ◽

pp. 110634

Author(s):

Xingyou Yan ◽

Heng Zhang ◽

Chong Luo ◽

Qiang Miao

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Envelope Spectrum ◽

Machinery Fault Diagnosis

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Rotating Machinery Fault Diagnosis Through a Transformer Convolution Network Subjected to Transfer Learning

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3119137 ◽

2021 ◽

pp. 1-1

Author(s):

Xinglong Pei ◽

Xiaoyang Zheng ◽

Jinliang Wu

Keyword(s):

Fault Diagnosis ◽

Transfer Learning ◽

Rotating Machinery ◽

Machinery Fault Diagnosis

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2D-hidden Markov model feature extraction strategy of rotating machinery fault diagnosis

Chinese Journal of Mechanical Engineering ◽

10.3901/cjme.2006.01.156 ◽

2006 ◽

Vol 19 (01) ◽

pp. 156

Author(s):

Dapeng YE

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Rotating Machinery ◽

Machinery Fault Diagnosis

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