摘要
为提高故障诊断中不确定信息的处理能力和推理质量,将贝叶斯网络技术引入发动机故障诊断领域。充分考虑发动机故障产生的机理,提出一种适用性较强的三层贝叶斯网络结构,增加了诊断信息来源,符合专家的诊断思路。诊断实例验证了其良好的故障源识别效果。
In order to improve the uncertain information processing capabilities and the reasoning quality in failure diagnosis, introduce Bayesian network technology into the field of engine failure diagnosis. Taking full account of the mechanism of engine failure, three-layer Bayesian network structure with strong applicability is proposed, and the diagnostic information sources that meets the diagnostic thought of experts. The diagnosis examples demonstrate the good effects of the failure source identification.
出处
《机械设计与研究》
CSCD
北大核心
2013年第3期80-84,共5页
Machine Design And Research
基金
国家自然科学基金委员会创新研究群体科学基金资助项目(51121063)
教育部高等学校学科创新引智计划资助项目(B06012)
关键词
不确定信息
推理
贝叶斯网络
故障诊断
uncertain information
reasoning
bayesian network
failure diagnosis
