计算机工程2011，Vol.37Issue(23)：251-253,3.
基于贝叶斯网络的车辆电源系统故障诊断方法
Fault Diagnosis Method of Vehicle Power System Based on Bayesian Network
程延伟 1谢永成 2李光升 1魏宁1
作者信息
- 1. 装甲兵工程学院控制系,北京100072
- 2. 装甲兵技术学院控制系,长春130117
- 折叠
摘要
Abstract
The vehicle power system has the fewer test points and the testing data are incomplete. Aiming at these characteristics, it proposes that combining multi-signal flow graph model with Bayesian network fault diagnosis method. The fault diagnosis model of power system is built by applying multi-signal flow graph. The dependence matrix which relates faults and testing signals is generated based on the model, and setting up the corresponding Bayesian network structure for the fault diagnosis, based on historical data to complete the network parameter learning. Using the maximum posterior probability of failure as a criterion to achieve the fault diagnosis of power system. Simulation results verify the effectiveness of the method.关键词
电源系统/多信号流图模型/贝叶斯网络/故障诊断/参数学习Key words
power system/ multi-signal flow graph model/ Bayesian network/ fault diagnosis/ parameter learning分类
信息技术与安全科学引用本文复制引用
程延伟,谢永成,李光升,魏宁..基于贝叶斯网络的车辆电源系统故障诊断方法[J].计算机工程,2011,37(23):251-253,3.
