Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Study of Fault Diagnosis for Rolling Bearing Based on GA-BP Algorithm

Authors
Yue Wen, Minping Jia, Cheng Luo
Corresponding Author
Yue Wen
Available Online March 2017.
DOI
10.2991/amcce-17.2017.137How to use a DOI?
Keywords
Genetic Algorithm; BP Neural Network; Fault Diagnosis; Rolling Bearing
Abstract

With the development of modern technology, the diagnosis technology for mechanical equipment has attached more attentions. This paper mainly presents the fault diagnosing process for rolling bearing by using the hybrid GA-BP algorithm, which combines genetic algorithm (GA) with error back-propagation algorithm (BP). The weights and thresholds of BP neural network are optimized by using genetic algorithm firstly and then assigned to the BP neural network. With the using of proposed approach, the diagnosis performance of BP neural network can be improved. In this paper, the optimal nonlinear mapping relationship between fault types and fault symptoms of rolling bearings is obtained and then realize failure recognition of rolling bearings though the hybrid GA-BP algorithm. Finally, the results of the test experiment verifies the efficiency and accuracy of the proposed GA-BP algorithm.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-308-1
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.137How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yue Wen
AU  - Minping Jia
AU  - Cheng Luo
PY  - 2017/03
DA  - 2017/03
TI  - Study of Fault Diagnosis for Rolling Bearing Based on GA-BP Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 776
EP  - 781
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.137
DO  - 10.2991/amcce-17.2017.137
ID  - Wen2017/03
ER  -