基于概率推理和模糊数学的变压器综合故障诊断模型  

PROBABILITY REASONING AND FUZZY TECHNIQUE APPLIED FOR IDENTIFYING POWER TRANSFORMER MALFUNCTION

作　　者：杨莉[1] 尚勇[1] 周跃峰[1] 严璋[1] 

机构地区：[1]西安交通大学,陕西省西安市710049

出　　处：《中国电机工程学报》2000年第7期19-23,共5页Proceedings of the CSEE

基　　金：自然科学基金及东北电力集团资助项目! ( 5963 72 0 0 );西安交通大学博士生基金资助项目! (DFXJU .1 999 1 3 )

摘　　要：在作者提出的电力变压器绝缘故障诊断概率模型的基础上 ,文章又以统计数据为依托来考察故障与征兆之间的相互关系 ,以及故障发生的可能性的同时 ,考虑了在征兆提取中的模糊边界问题。与仅用概率推理或模糊数学的方法相比 。The parsimonious covering theory integrated with probability and fuzzy technique is applied to analyze power transformer malfunctions. The relationship between malfunction and symptom along with the possibility of malfunction are realized, as well as fuzzy borderline is considered at extracting symptoms. Test results show that the model has better performance than using probability or fuzzy reasoning individually.

关 键 词：概率推理 模糊数学 故障诊断 电力变压器 

分 类 号：TM410.7[电气工程—电器]