基于粗糙集的变压器故障诊断方法研究综述  

Review of Fault Diagnosis Method for Power Transformer Based on Rough Set Theory

作　　者：孙娜[1] 

机构地区：[1]华北电力大学电子与通信工程系,河北保定071003

出　　处：《广东电力》2010年第2期14-17,共4页Guangdong Electric Power

摘　　要：介绍了粗糙集理论的基本概念、约简计算方法和约简过程,并对近年来基于单一粗糙集理论及其与其他智能方法组合的变压器故障诊断方法的主要研究成果进行了分析和评述,指出基于粗糙集理论的属性约简能够保证在变压器故障诊断结果一致的情况下选择最少的特征集,是变压器故障诊断的一个较好的途径。The basic concept of rough set theory, the algorithm of reduction and the reduction process are presented. Furthermore, the main research findings of transformer fault diagnosis methods based on single rough set theory or its combination with other intelligent means in recent years are analyzed and evaluated. It is indicated that attribute reduction based on rough set theory can ensure the choice of fewest characteristic sets with consistent diagnostic results of transformer faults; therefore it is a good way for transformer fault diagnosis.

关 键 词：电力变压器 故障诊断 粗糙集 

分 类 号：TM42[电气工程—电器]