远程协同故障诊断的任务分配研究  

Task Allocation in Remote Cooperative Fault Diagnosis

作　　者：刘建辉 

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》2011年第7期1163-1167,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：陕西省教育厅专项科学研究项目(11JK0875)资助

摘　　要：为了有效地利用多诊断资源参与的远程协同故障诊断来解决复杂装备的诊断维护问题,需要对协作过程中的诊断任务进行合理分配。根据装备的结构、故障模型和Bayesian网络确定了诊断任务模型;运用关键路径算法进行了诊断任务执行路径规划;基于多种约束指标和从服务角度实现了诊断资源的配置优化;以工程装备单侧制动故障诊断事例为对象,验证了该方法的有效性。Remote cooperative fault diagnosis（RCFD） is an effective solution for diagnosis and maintenance of complex equipment.The allocation of diagnosis task is one of the core parts of RCFD.First,the diagnosis task model is identified according to the structure model,fault model of equipment,and Bayesian networks.Then,the execution path planning of diagnosis task is realized by using one critical path algorithm named D-algorithm.After that,diagnosis resource configuration is optimized from the multi-constraints perspective and the service perspective.Finally,the task allocation method is validated through a case study of engineering equipment.

关 键 词：远程协同故障诊断 任务分配 诊断任务模型 资源配置 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TP301[自动化与计算机技术—控制科学与工程]