摘要
讨论了水电机组状态检修系统的一般结构,利用贝叶斯网络的理论与建模方法,将水电机组的故障诊断与维修决策相结合,实现了诊断为维修服务。基于效用理论,结合贝叶斯网络模型,提出了维修与试验的优化策略,并通过一个简单模型的建模与计算,表明了基于贝叶斯网络的水电机组状态检修系统所具有的独特优点。最后分析了其存在的不足和需要改进的方面,提出了今后的研究重点。
The general structure of the condition-based maintenance system of hydroelectric sets is discussed. The theory and modeling methods of Bayesian networks are applied to integrate fault diagnosis and maintenance decision-making of hydroelectric sets, and the maintenance-serving diagnosis is realized. Based on the utility theory and combining Bayesian networks model, an optimal strategy of maintenance and test is put forward. By a simple example of modeling and computation, the unique virtue of the condition-based maintenance system based on Bayesian networks is illustrated. Finally, some disadvantages that should be improved are analyzed and the key issues for future research are proposed.
出处
《水电自动化与大坝监测》
2004年第5期11-14,共4页
HYDROPOWER AUTOMATION AND DAM MONITORING
关键词
水轮发电机组
状态检修
贝叶斯网络
效用理论
hydroelectric set
condition-based maintenance
Bayesian networks
utility theory
