节点文献
基于现象表征的故障诊断系统研究
Research on the Fault Diagnosis System for Practice Training Based on Fault Token
【摘要】 参考都柏林核心对Web资源的管理方式,定义故障诊断源案例知识的资源描述的核心"元素集",提出基于故障现象表征状态向量的提取源案例的方法,实现经典故障案例管理与使用。实践证明,这种基于现象表征的故障诊断系统具有通用性。
【Abstract】 Inspired by the management way of Dublin Core for the Web resource,defines the core element set of knowledge resource description for fault diagnosis,and provides the retrieval method for the fault diagnosis case on the basis of fault token state vector so as to accomplish the management and use of the typical fault case set.The real system shows that it is universal for the fault-token-based system.
【关键词】 故障诊断;
案例检索;
知识表示;
现象表征状态向量;
【Key words】 Fault Diagnosis; Case Retrieval; Knowledge Representation; Token State Vector;
【Key words】 Fault Diagnosis; Case Retrieval; Knowledge Representation; Token State Vector;
【基金】 深信院博士创新项目(No.BC-0724)
- 【文献出处】 现代计算机(专业版) ,Modern Computer , 编辑部邮箱 ,2009年03期
- 【分类号】TP277
- 【下载频次】25