粗糙集在电力变压器故障诊断中的应用

电力变压器是一种比较复杂的系统,在实际故障诊断中要想获得完备的实验数据比较困难。针对该问题,提出了一种基于粗糙集的电力变压器故障诊断新方法,即分析搜集到的电力变压器历史故障数据,确定条件属性集和决策属性集;对条件属性集进行约简,去除冗余信息,提取关键信息,得到相应的规则集;利用该规则集对电力变压器进行故障诊断。实例分析验证了该方法的正确性和有效性。

Application of Rough Set in Fault Diagnosis of Power Transformer

Power transformer is a complex system.It is difficult to gain complete experiment data in actual fault diagnosis.To solve the problem,the paper proposed a new method of fault diagnosis of power transformer based on rough set.The implementing steps of the method are as follows: analyzing collected history fault data of power transformer to determine condition attribute set and decision attribute set;deducting condition attribute set to remove redundant information and extract key information,so as to gain relative rule set;making fault diagnosis for power transformer by use of the rule set.The case analysis proved validity and effectiveness of the method.