基于梯形灰色聚类分析的电力变压器故障诊断

Power transformer fault diagnosis based on trapezium gray clustering analysis

引入灰色系统理论,通过改进的灰色聚类算法,提出了影响因子的概念,通过影响因子对变压器故障标准模型的数据进行优化,选取梯形白化函数的两个端点,采用梯形灰色聚类算法对变压器故障类型性质及部位进行分析和判断。从而为变压器故障诊断提供了新的方法,实验分析结果表明,该方法与实际吊罩检测结果一致,具有一定的有效性和实用性,并且具有分析速度快,实时性好的优点。

The traditional power transformer fault diagnosis method was bettered by an improved gray clustering algorithm based on the theory of gray system. A concept of influence gene was introduced in the optimization of the power transformer fault standard model. Two ends of the trapezium whiting function were selected to analyze and judge the fault pattern and location of the transformer by the trapezium gray clustering algorithm. The results of the proposed diagnosis method were in good agreement with those of actual hanging hood detections, illustrating the new method is effeitive and practical, and characterized by the quickness and the real-time possibility.