Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine-Reference-Cited by-同舟云学术

Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine

Published:2015-09 Issue:5 Volume:29 Page:04014077
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Ao HungLinh¹,Cheng Junsheng²,Zheng Jinde³,Truong Tung Khac⁴

Affiliation:

1. Ph.D. Student, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan Univ., Changsha 410082, People’s Republic of China; and Lecturer, Faculty of Mechanical Engineering, Industrial Univ. of Ho Chi Minh City, Ho Chi Minh 70000, Vietnam (corresponding author).

2. Professor, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan Univ., Changsha 410082, People’s Republic of China.

3. Ph.D. Student, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan Univ., Changsha 410082, People’s Republic of China.

4. Faculty of Information Technology, Industrial Univ. of Ho Chi Minh City, Ho Chi Minh 70000, Vietnam.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000394

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4. Ao H. Cheng J. Yang Y. and Truong T. K. (2013). “The support vector machine parameter optimization method based on artificial chemical reaction optimization algorithm and its application to roller bearing fault diagnosis.” J. Vibr. Contr. JVCOFX1077-546310.1177/1077546313511841.

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