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模糊粗糙集数据挖掘方法在电力变压器故障诊断中的应用研究——基于油中溶解气体的分析诊断
Fuzzy Rough Sets Method Application Research for Fault Diagnosis of Power Transformer
【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 ,为电力变压器提供有效的故障诊断
【Abstract】 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.
【关键词】 模糊;
故障诊断;
知识库;
粗糙集(RS);
【Key words】 fuzzy; fault diagnosis; knowledge database; rough set(RS);
【Key words】 fuzzy; fault diagnosis; knowledge database; rough set(RS);
【基金】 国家自然科学基金资助项目 ( 5 0 12 870 6)
- 【文献出处】 电力系统及其自动化学报 ,Proceedings of Electric Power System and Automation , 编辑部邮箱 ,2004年05期
- 【分类号】TM76
- 【被引频次】31
- 【下载频次】453