Intelligent rotating machinery fault diagnosis based on super-resolution enhancement using data augmentation under large speed fluctuation

Measurement Science and Technology ◽

10.1088/1361-6501/ac1edd ◽

2021 ◽

Author(s):

Xiaoyu Wang ◽

Baokun Han ◽

Tao Lu ◽

Guowei Zhang ◽

Jinrui Wang

Keyword(s):

Fault Diagnosis ◽

Data Augmentation ◽

Resolution Enhancement ◽

Super Resolution ◽

Rotating Machinery ◽

Speed Fluctuation ◽

Large Speed ◽

Machinery Fault Diagnosis

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Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Journal of Intelligent Manufacturing ◽

10.1007/s10845-018-1456-1 ◽

2018 ◽

Vol 31 (2) ◽

pp. 433-452 ◽

Author(s):

Xiang Li ◽

Wei Zhang ◽

Qian Ding ◽

Jian-Qiao Sun

Keyword(s):

Deep Learning ◽

Fault Diagnosis ◽

Data Augmentation ◽

Rotating Machinery ◽

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 ◽

Author(s):

W.J. WANG ◽

J. CHEN ◽

X.K. WU ◽

Z.T. WU

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

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 ◽

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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Fault Diagnosis of Rotating Machinery Using Data Mining and CLIPS-Based Expert System

2008 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2008.120 ◽

2008 ◽

Author(s):

Dongyang Dou ◽

Yingkai Zhao

Keyword(s):

Data Mining ◽

Fault Diagnosis ◽

Expert System ◽

Rotating Machinery ◽

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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 ◽

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 ◽

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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