国际设备工程与管理（英文版）2002，Vol.7Issue(3)：163-169,7.
Expert Diagnosing System for a Rotation Mechanism Based on a Neural Network
Expert Diagnosing System for a Rotation Mechanism Based on a Neural Network
1
作者信息
- 1. Shenyang University of Technology, Shenyang 110023, P. R. China;Shenyang University of Technology, Shenyang 110023, P. R. China;Shenyang University of Technology, Shenyang 110023, P. R. China
- 折叠
摘要
Abstract
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.关键词
fault diagnosis/expert system/repository/rotation mechanism/neural networkKey words
fault diagnosis/expert system/repository/rotation mechanism/neural network分类
信息技术与安全科学引用本文复制引用
..Expert Diagnosing System for a Rotation Mechanism Based on a Neural Network[J].国际设备工程与管理（英文版）,2002,7(3):163-169,7.
