Expert Diagnosing System for a Rotation Mechanism Based on a Neural Network

作     者：LIUGui－li WANGLi－peng 等 

作者机构：ShenyangUniversityofTechnologyShenyang110023P.R.China 

出 版 物：《International Journal of Plant Engineering and Management》 (国际设备工程与管理（英文版）)

年 卷 期：2002年第7卷第3期

页      面：163-169页

学科分类：08[工学] 080203[工学-机械设计及理论] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

主　　题：fault diagnosis expert system repository rotation mechanism neural network 

摘      要：By combining the artificial neural network with the rule reasoning expert system, an expert diagnosing system for a rotation mechanism was established. This expert system takes advantage of both a neural network and a rule reasoning expert system; it can also make use of all kinds of knowledge in the repository to diagnose the fault with the positive and negative mixing reasoning mode. The binary system was adopted to denote all kinds of fault in a rotation mechanism. The neural networks were trained with a random parallel algorithm (Alopex). The expert system overcomes the self learning difficulty of the rule reasoning expert system and the shortcoming of poor system control of the neural network. The expert system developed in this paper has powerful diagnosing ability.