A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis

Neurocomputing ◽

10.1016/j.neucom.2018.07.021 ◽

2018 ◽

Vol 315 ◽

pp. 246-260 ◽

Author(s):

Yongbo Li ◽

Xihui Liang ◽

Yu Wei ◽

Xianzhi Wang

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Symbolic Dynamic ◽

Multi Scale ◽

Machinery Fault Diagnosis

Download Full-text

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

Download Full-text

A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2019.106609 ◽

2020 ◽

Vol 139 ◽

pp. 106609 ◽

Author(s):

Qin Hu ◽

Xiao-Sheng Si ◽

Qing-Hua Zhang ◽

Ai-Song Qin

Keyword(s):

Fault Diagnosis ◽

Random Forests ◽

Rotating Machinery ◽

Multi Scale ◽

Diagnosis Method ◽

Machinery Fault Diagnosis

Download Full-text

A Fault Diagnosis Method of Rotating Machinery Based on Multi-scale Fuzzy Entropy

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) ◽

10.1109/phm-jinan48558.2020.00090 ◽

2020 ◽

Author(s):

Yingjian Wu ◽

Jinglin Wang ◽

Liang Cao

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Fuzzy Entropy ◽

Multi Scale ◽

Diagnosis Method

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text