Application of Improved BP Neural Network Based on Genetic Algorithm in Fault Diagnosis of Equipment

DOI

10.2991/ameii-16.2016.205How to use a DOI?

Keywords

equipment, fault diagnosis, BP neural network, genetic algorithm

Abstract

Aiming at the problems of traditional BP neural network in fault diagnosis of equipment, the genetic algorithm is introduced to optimize the network, and the fault diagnosis model of equipment is established. The modeling ideas and considerations are introduced in detail, and the simulation calculation is carried out. The results show that the improved network has a good approximation performance, the training speed and accuracy are greatly improved, and it can be better to carry out fault diagnosis of equipment.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Xin Ren
PY  - 2016/04
DA  - 2016/04
TI  - Application of Improved BP Neural Network Based on Genetic Algorithm in Fault Diagnosis of Equipment
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1076
EP  - 1080
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.205
DO  - 10.2991/ameii-16.2016.205
ID  - Ren2016/04
ER  -