Meter Fault Causes Separation Based on Cyclic Iterative Algorithm

Xiaokang Liu, Yuexian Hou, Shengnan Zhang
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Abstract

The growing amount of fault smart meter raises concern from the State Grid Corporation of China in Tianjin. However, data analysis on smart meter fault is still not enough. This paper investigates the fault causes among fault meters data and tries to separate the effective meter fault causes out. To this end, several steps have been followed: first, it builds a fault causes analysis system to find out the effective causes. Second, it raises a cause separation method to extract effective reasons from massive causes. Then a cyclic iterative algorithm has been proposed by maximum likelihood solution for solving meter fault causes equations built in cause separation method. The cause separation method behaves better in practical applications than in the traditional statistics approach. The methods are applied to and evaluated on the practical data.
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基于循环迭代算法的电表故障分离
越来越多的故障智能电表引起了天津国家电网公司的关注。然而,对智能电表故障的数据分析仍然不够。本文对故障仪表数据中的故障原因进行了研究,并尝试分离出有效的故障原因。为此,本文采取了以下几个步骤:首先,建立故障原因分析系统,找出故障的有效原因;其次,提出了从大量原因中提取有效原因的原因分离方法。然后提出了一种基于极大似然解的循环迭代算法,用于求解原因分离法中建立的电表故障原因方程。原因分离方法在实际应用中比传统的统计方法表现得更好。并对实际数据进行了应用和评价。
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