摘要
为了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,提出一种基于粗糙集理论的电力变压器故障诊断方法.给出了粗糙集的基本概念、约简计算方法和约简过程,并给出了故障诊断原理和诊断实例.实验结果表明,该方法是有效的,达到了预期目的,为电力变压器故障诊断提供了新的思路,对其他电气设备的故障诊断具有参考价值.
In order to get right conclusions of diagnosis from maturity information and satisfied results of diagnosis from incomplete information, and to improve the recognizing rate of faults, a method of fault diagnosis for transformer based on rough set theory is presented. The basic concepts of rough set, the algorithm of reduction, the principle of fault diagnosis and the practical examples are given out. Experiment results show that the method is effective and reaches the expect aim.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第8期943-946,共4页
Control and Decision
基金
云南省科技厅应用基础基金资助项目(2000F0041M)
云南省"控制理论与控制工程"省级重点学科建设基金资助项目(14039043).
关键词
粗糙集
约简
决策表
故障诊断
变压器
Classification (of information)
Computer simulation
Data reduction
Decision tables
Electric power systems
Failure analysis
Rough set theory
