基于大数据背景的电力计量装置故障诊断方法研究

Research on a Fault Diagnosis Method of the Power Metering Device Based on the Background of Big Data

本文提出了一种基于大数据的电力计量装置故障诊断方法,该故障诊断策略以知识库为基础,对电力计量装置的运行状态进行实时监测,在基于大数据方法进行运算,最终得到各种引起电力计量装置故障的各种影响因素的概率分布情况。经过实例验证,本文所提出的方法智能化程度高,能够准确进行故障诊断,大幅度提升电力计量装置的工作效率,具备进行大规模推广应用的价值。

This paper proposes a big data-based fault diagnosis method for power metering devices,which is based on the fault diagnosis knowledge base,real-time monitoring of the operation status of power metering devices,and finally the probability distribution of various influencing factors that cause power metering device fault based on the big data method.After verification,the method proposed in this paper is highly intelligent and can accurately diagnose faults,which can greatly improve the efficiency of power metering devices and has the value of large-scale promotion and application.