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METHOD AND APPARATUS FOR PREDICTING SYSTEM FAILURE AND GRADING STATUS OF POWER DISTRIBUTION PANEL SYSTEM

机译:配电板系统的系统故障和分级状态的预测方法和装置

摘要

PURPOSE: An apparatus and method for estimating a quality index of a distribution system are provided to construct an optimum artificial neural network model by directly using data measured in the distribution system to improve the accuracy of an artificial neural network model. CONSTITUTION: A distribution system(110) provides electricity to a building. A measurement data input unit(130) provides the measurement data of the distribution system to the input of an artificial neural circuit network. A measurement data memory(140) stores the measurement data of a prior timing to calculate differential data. A differential data generating unit(150) subtracts the measurement data of the prior timing from the measurement data of a current timing and provides a subtracted result to the input of the artificial neural network. An estimation data generating unit(160) calculates an estimation value of an environmental element of the distribution system and provides the estimation value to the input of the artificial neural network.
机译:目的:提供一种用于估计配电系统的质量指标的装置和方法,以通过直接使用在配电系统中测量的数据来构建最佳的人工神经网络模型,以提高人工神经网络模型的准确性。组成:配电系统(110)为建筑物供电。测量数据输入单元(130)将分配系统的测量数据提供给人工神经电路网络的输入。测量数据存储器(140)存储先前定时的测量数据以计算差分数据。差分数据生成单元(150)从当前定时的测量数据中减去先前定时的测量数据,并将相减的结果提供给人工神经网络的输入。估计数据生成单元(160)计算分配系统的环境要素的估计值,并将该估计值提供给人工神经网络的输入。

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