Application of Expert System Fuzzy BP Neural Network in Fault Diagnosis of Piston Engine

摘要：

Due to the limitation of BP neural network in fault diagnosis, an improved fault diagnosis method based on Expert System, Fuzz) Theory and improved BP neural network is presented in this paper. And then it is applied in the fault diagnosis of one piston engine. Firstly, a fault database of the piston engine is established by using Expert System; Secondly, the fault symptom is pre-processed with Fuzzy Theory to obtain training samples for neural network; in the end, simulations of fault diagnosis based on BP neural network and improved BP neural network are accomplished by employing the MATLAB software. The simulation results indicate that this method maintains fast convergence, high diagnostic accuracy and it can diagnosis engine failure effectively.

关键词： BP neural network Fuzzy Theory Expert System fault diagnosis piston engine

作者: Zhang Quan Chen Nanyu Huang Jun Meng Zhijun

作者单位: Beihang University School of Aeronautic Science and Engineering Beijing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 604-607

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）