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基于贝叶斯网络的智能故障诊断方法
引用本文:李俭川,陶俊勇,胡茑庆,温熙森.基于贝叶斯网络的智能故障诊断方法[J].中国惯性技术学报,2002,10(4):24-28.
作者姓名:李俭川  陶俊勇  胡茑庆  温熙森
作者单位:国防科技大学机电工程与自动化学院机电工程研究所,长沙,410073
摘    要:首先提出了基于贝叶斯网络的智能故障诊断方法,它对于解决复杂设备诊断问题中存在的不确定性,关联性具有很大的优质。然后阐述了贝叶斯网络模型的数学描述及基于贝叶斯网络的故障诊断方法的基本思路和决策算法。最后以某型SINS/GPS组合导航系统的故障诊断应用实例说明了该方法的有效性。

关 键 词:智能故障  诊断方法  贝叶斯网络  不确定性推理  概率理论  组合导航系统  机电设备
文章编号:1005-6734(2002)04-0024-05
修稿时间:2002年5月10日

Intelligent Fault Diagnosis Technique Based on Bayesian Networks
LI Jian-chuan,TAO Jun-yong,HU Niao-qing,WEN Xi-sen.Intelligent Fault Diagnosis Technique Based on Bayesian Networks[J].Journal of Chinese Inertial Technology,2002,10(4):24-28.
Authors:LI Jian-chuan  TAO Jun-yong  HU Niao-qing  WEN Xi-sen
Abstract:This paper suggests that the method of intelligent fault diagnosis based on Bayesian Networks has huge advantages in solving the uncertainty and associated problems for device fault diagnosis. The mathematical basis of Bayesian Networks is depicted, and the idea and optimized algorithm of fault diagnosis based on Bayesian Networks are set forth. At last, an application example in the fault diagnosis of SINS/GPS integrated navigation system is given which shows that this method is effective.
Keywords:fault diagnosis  Bayesian networks  uncertainty reasoning  probability theory  integrated navigation system
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