基于粗糙集理论的电力变压器故障诊断方法及其发展

文章简要阐述了变压器的常见故障及其基与DGA诊断的特点，指出了几种单一智能诊断方法的不足。在此基础上，引入粗糙集理论以便能从完备信息中得出正确的诊断结论，并能从不完整的信息中得出满意的诊断结果，提高故障识别率。文中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主要研究成果进行了总结与评述。根据国内外变压器故障诊断的现状与经验，对未来的主要研究方向作了一些有益的探讨。

Review of Fault Diagnosis Method for Power Transformer Based on Rough set theory and its Development

Some familiar transformer faults and diagnosis characteristic based on DGA are set forth in this paper,and some shortages are pointed out as for several types of simplex intelligentized diagnosis methods.On the basis of these analysis,the rough set theory is introduced to get right results of diagnosis from maturity information and satisfied conclusions of diagnosis from incomplete information,and to increase the identifying rate of faults.The basic concepts of rough set,the algorithm of reduction, and the principle of fault diagnosis are presented briefly.Furthermore,the main research conclusions of the above fault diagnosis methods based on rough set theory and with it combination in recent years are reviewed and evaluated.Based on these discussions and the experience of homeland and other countries,some useful suggestions are indicated for next research direction.