An Expert System for Farm Machinery Fault Diagnosis based on RBF Neural Network

摘要：

The modern farm machinery is developing to mechatronies gradually. Its structure and function are more and more complex. It is very difficult to locate the fault accurately and rapidly just depend on artificial measure and traditional expert system. Therefore a neural network expert system is established which unified the RBF neural network and the traditional expert system. The system can implement self-learning, reasoning and judging moreover not entirely depends on the expert. When it is used to diagnose the fault of farm machinery, it can get a reliable result. A diesel fuel system has been used to verify the feasibility of the system.

关键词： Farm machinery RBF neural network Fault diagnosis Neural network expert system

作者: NIE Caili LIU Shuxia

作者单位: College of Mechanical and Electrical Engineering,Agriculture University of Hebei,Baoding,Hebei Province,China,071001

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 389-393

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）