智能电表故障辨识模型研究

Study on Smart Meters Fault Identification Model

针对智能电表故障辨识问题,基于电表计量数据并考虑影响智能电表故障的各个因素,提出一种智能电表故障辨识模型(智能电表计量异常分析模型和基于C5.0智能电表故障预测模型)。首先用智能电表计量异常分析模型筛选出计量异常的智能电表,然后采用基于C5.0智能电表故障预测模型预测智能电表是否发生非计量故障或无故障。实例验证结果表明,智能电表故障辨识模型可以较为准确、真实地辨识智能电表故障,可为智能电表故障辨识的进一步研究提供一定参考。

Aiming at the smart meters failure identification problem,based on the measurement data of smart meter and considering various factors which affect the fault of smart meter,a smart meter fault identification model was proposed.It consists of two parts：the abnormal analysis model of smart meters and the fault prediction model based on C5.0.The idea is that,first of all,the measuring abnormal smart meter is selected by the abnormal analysis model of smart meters,then the fault prediction model based on C5.0 is used to predict whether the metering has a non-measurement fault or not.The results of examples show that the smart meter fault identification model can more accurately and truthfully identify smart meter fault,and this method can provide some reference for the further research of fault identification of smart meters.