摘要
将电力变压器故障历史数据首先进行模糊化及离散化处理 ,然后构建故障诊断决策表 ,以决策表作为主要工具 ,即“知识库”,采用粗糙集数据挖掘方法直接从决策表中提取出潜在的诊断规则 。
In this paper,the history fault data of power transformer is processed with fuzzy and scatter method.The processed data is used to structure the fault diagnosis decision-making table which is treated as ('knowledge database').This paper introduced rough sets data mining method to take potential diagnosis rule from the fault diagnosis decision-making table of power transformer.These rules can offer effective fault diagnosis service for power transformer.
出处
《电力系统及其自动化学报》
CSCD
2004年第5期1-4,19,共5页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目 ( 5 0 12 870 6)