基于AHP-灰色定权聚类的低压计量箱状态评估

Condition assessment of low voltage metering box based on AHP-gray fixed weight clustering

影响低压计量箱运行状态的因素较多,且存在模糊性,为解决这一问题,采用AHP-灰色定权聚类评估低压计量箱运行状态。首先给出低压计量箱运状态定义;建立了低压计量箱层次化模型;计算出各层指标权重;再利用灰色聚类方法进行聚类分析;最终完成低压计量箱的状态评估。实例分析结果表明了该方法的合理性与可行性。

Factors resulting in condition monitoring of low voltage metering box are complex and fuzzy.A method in this paper is used to solve this problem,which is based on AHP-gray fixed weight clustering for estimating condition monitoring of low voltage metering box.Firstly,the definitions of low voltage metering box condition monitoring are provided,and the hierarchical model of low voltage meter is established,as a result,the weights of each index are calculated;then,the clustering analysis is processed by gray clustering method;finally,the condition monitoring of low voltage meter is ultimately finished.The analytical results of an example show that the method is reliable and reasonable.