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Anomaly Diagnosis Analysis for Running Meter Based on BP Neural Network

机译:基于BP神经网络的运行仪表异常诊断分析

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Smart meters is important equipment in the electric information acquisition system, it is the terminal equipment on the user side to realize information collection, energy metering and other functions. However, because of maintenance workload greatly, artificial detection can't meet the need. In this paper, anomaly diagnosis analysis for running meter is proposed, by dealing with data collected, setting up diagnosis model, realize maintain for smart meter.
机译:智能电表是电动信息采集系统中的重要设备,它是用户侧的终端设备,实现信息收集,能源计量等功能。但是,由于维护工作量大大,人工检测不能满足需求。本文通过处理收集的数据,建立诊断模型,实现了智能仪表的数据,提出了对运行仪表的异常诊断分析。

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