Application of PSO-BP Algorithm in Hydraulic System Fault Diagnosis

Authors

Handong Zhang, 1. Anhui University of Technology, Maanshan 243000, China;;
Liusong Tao, 2. Electrical Engineering and Information School, Anhui University of Technology, Maanshan 243000, China;

Abstract

Abstract: It is of great significance to monitor, forecast and diagnose hydraulic systems’ fault timely and accurately. First, this paper describes the basic fault model theoretical knowledge of BP neural neystem failure neural network modeling has created and simulated. PSO-BP neural network has been raised, this paper has established PSO optimize model of the BP neural system fault diagnosis. BP network has been created and simulated in Plunger pump hydraulic system failure. The correct results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm, and can meet the requirements of Hydraulic system fault diagnosis.

Recommended Citation

Zhang, Handong and Tao, Liusong (2020) "Application of PSO-BP Algorithm in Hydraulic System Fault Diagnosis," Journal of System Simulation: Vol. 28: Iss. 5, Article 25.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss5/25

First Page

1186

Revised Date

2015-03-08

DOI Link

https://doi.org/

Last Page

1190

CLC

TH17

Recommended Citation

Zhang Handong, Tao Liusong. Application of PSO-BP Algorithm in Hydraulic System Fault Diagnosis[J]. Journal of System Simulation, 2016, 28(5): 1186-1190.