首页|期刊导航|国际设备工程与管理（英文版）|Bayesian Diagnostic Network: A Powerful Model for Representation and Reasoning of Engineering Diagnostic Knowledge
国际设备工程与管理（英文版）2005，Vol.10Issue(1)：28-35,8.
Bayesian Diagnostic Network: A Powerful Model for Representation and Reasoning of Engineering Diagnostic Knowledge
Bayesian Diagnostic Network: A Powerful Model for Representation and Reasoning of Engineering Diagnostic Knowledge
摘要
Abstract
Engineering diagnosis is essential to the operation of industrial equipment. The key to successful diagnosis is correct knowledge representation and reasoning. The Bayesian network is a powerful tool for it. This paper utilizes the Bayesian network to represent and reason diagnostic knowledge, named Bayesian diagnostic network. It provides a three-layer topologic structure based on operating conditions, possible faults and corresponding symptoms. The paper also discusses an approximate stochastic sampling algorithm. Then a practical Bayesian network for gas turbine diagnosis is constructed on a platform developed under a Visual C++ environment. It shows that the Bayesian network is a powerful model for representation and reasoning of diagnostic knowledge. The three-layer structure and the approximate algorithm are effective also.关键词
engineering diagnosis/Bayesian network/reasoning/knowledge representationKey words
engineering diagnosis/Bayesian network/reasoning/knowledge representation分类
机械制造引用本文复制引用
HU Zhao-yong..Bayesian Diagnostic Network: A Powerful Model for Representation and Reasoning of Engineering Diagnostic Knowledge[J].国际设备工程与管理（英文版）,2005,10(1):28-35,8.基金项目
This paper is supported by Natural Science Foundation of China under Grant No. 50335030. （）
