基于故障概率的可拓诊断法  

Extension Fault Diagnosis Based on Failure Probability

作　　者：高亚娴[1] GAO Ya-xian （Shaanxi Institute of Education, Xi＇an 710061, China）

机构地区：[1]陕西教育学院计算机科学系,陕西西安710061

出　　处：《电脑知识与技术》2009年第10期7866-7867,共2页Computer Knowledge and Technology

摘　　要：基于可拓学的故障诊断法现已成功应用于电力设备的故障诊断中，但在故障诊断过程中，没有考虑电力设备常见的几种故障发生的概率．对诊断结果的准确性有一定的影响。基于故障概率的可拓诊断法是在分析可拓诊断法优缺点基础上，将常见的故障概率与可拓法中的关联度相结合，即在可拓法中引入贝叶斯判别法，在故障诊断过程中综合考虑各种故障总体物元出现的先验概率和分布，得出故障所属类型，最后介绍了这一方法在电力设备的故障诊断中的应用。Extension fault diagnosis has been successfully applied to fault diagnosis of electrical equipment, However,the process of fault diagnosis appears not to consider the common failure probability of electrical equipment, As a result the results of the diagnosis have a certain impact. On the basis of analyzed the advantages and disadvantages of extension diagnosis method,Extension fault diagnosis based on failure probability combined the common failure probability and correlation of extension,Namely Bayesian discriminant method was introduced to extension.In the failure diagnosis process the type of diagnosis is deduced considering the prior probability and distribution of each kind of fault element. Finally, the method is described in detail in the actual fault diagnosis of electrical equipment.

关 键 词：故障诊断 可拓法 关联度 故障概率 贝叶斯 

分 类 号：TP399[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]