节点文献
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
【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 ,文中的方法更能真实地反映故障诊断的特性
【Abstract】 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】 节约覆盖集;
概率推理;
模糊数学;
故障诊断;
【Key words】 parsimonious covering theory; probability reasoning; fuzzy technique; fault diagnosis;
【Key words】 parsimonious covering theory; probability reasoning; fuzzy technique; fault diagnosis;
【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 )
- 【文献出处】 中国电机工程学报 ,Proceedings of the Csee , 编辑部邮箱 ,2000年07期
- 【分类号】TM4
- 【被引频次】150
- 【下载频次】747