Study of Rotating Machinery Fault Diagnosis Model with Integrating Neural Network and Expert System

摘要：

Aimed at these shorts of the unity expert system in rotate machine fault diagnosis, a new method of neural network interfused with traditional expert system is presented in rotate machine fault diagnosis. The frame and function expression of rotate machine fault diagnosis system based on neural network and traditional expert system are given. The select method of diagnosis parameter and the setting up process of knowledge database and module of neural network are analyzed. The experiment results demonstrate that diagnosis faults method is effective.

关键词： Expert System Neural Network Fault Diagnosis Rotate Machine

作者: Yanqiu Wang Kejian Yang

作者单位: College of Electrical Engineering Liaoning University of Technology, Liaoning Jinzhou, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）