面向发电装备的远程协同故障诊断  

The Oriented Multi-resource Remote Collaborative Diagnosis for the Complex Equipment

作　　者：刘建辉 何育民[1] 

机构地区：[1]西安建筑科技大学机电学院,西安710055

出　　处：《机械科学与技术》2012年第9期1530-1534,1538,共6页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51075314)资助

摘　　要：远程协同故障诊断的主要关键支撑技术包括对装备现场健康状况信息的主动有效预处理,以及对多诊断资源参与协作过程中的规划,包括任务分配与资源配置两个子环节;最后一个关键技术为对多诊断结论的博弈决策。以移动发电车为对象,对远程协同诊断的关键支撑技术及其系统开发进行了验证,表明远程协同故障诊断具有快速、高效、资源共享等优点。Aim to the puzzledom of complex equipment fauh diagnosis, the Remote Collaborative Fault Diagnosis （RCFD） with multi-diagnostic resources is an R＆D direction. Primary contents include key supporting technologies and system realization of RCFD, and others. Thereinto, key technologies are composed by three issues： active and effective preprocessing on equipment on-site health information, and collaborative process planning of muhi-diag- the last key is- Taking truck nostic resources, which includes diagnostic task allocation and resource optimization two sub-issues, sue is decision fusion on some conflicting conclusion of diagnostic resources based on game theory. chassis system as example, the architecture and engineering application of RCFD has also expounded. Finnally, further studying points of RCFD Key words： remote cooperative are indicated. diagnosis local information preprocessing; task allocation; decision fusionfurther studying points of RCFD are indicated.

关 键 词：远程协同故障诊断 现场信息预处理 任务分配 决策融合 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TM6[自动化与计算机技术—控制科学与工程]