机械科学与技术2011，Vol.30Issue(11)：1855-1863,9.
基于风险和状态决策的维修任务优化研究
Maintenance Tasks Optimization Research Based on Risk ＆ Condition Decision Making
摘要
Abstract
In order to rationally allocate maintenance resources and improve equipment reliability,availability and safety,a kind of risk condition based decision making model is established in this paper.Using real time database,web service and Service Oriented Architecture（SOA） technology,a data framework is developed to provide a unified data structure and man-machine interface,which integrates Reliability-centered Maintenance（RCM）,condition monitoring system（CMS） and manufacturing executive system（MES） together.Based on the technology of RCM and condition monitoring,the risk rank and degradation trend of fault characteristics are used to support the decision-making and to optimize maintenance tasks.The result of an engineering case shows that the maintenance strategy based on the risk and condition prediction can lower operation risk of equipment,and can enhance equipment reliability,availability and safety.Experiences show that the key factors affecting the successful transition to a more risk condition informed approach include firm support from both the manager and the engineers as well as education and training for engineers,operators and maintenance staffs.关键词
风险和状态/以可靠性为中心的维修/故障特征/维修任务优化Key words
risk ＆ condition/reliability-centered maintenance/fault characteristics/maintenance tasks optimization分类
信息技术与安全科学引用本文复制引用
王庆锋,么子云,高金吉,刘文彬,罗方伟..基于风险和状态决策的维修任务优化研究[J].机械科学与技术,2011,30(11):1855-1863,9.基金项目
中国国家支撑计划项目 （）
北京化工大学研究生科研创新基金项目（09Me003）资助 （）
