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Neural network application in PD pattern analysis

机译:神经网络在PD图案分析中的应用

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The Computerised Discharge Analyser (CDA3) is a PC-based data acquisition system. It captures in real-time individual PD pulses from the output of a conventional analogue discharge detector. Integrated analysis of the raw data is carried out by software. It was shown that automatic recognition of the PD patterns is possible with the use of a neural network. The input to the network can be the bivariate phase-resolved distributions. Its size can be reduced by feeding the network with pre-processed data such as the statistical moments of the univariate distributions or the IEC-270 integrated quantities.
机译:计算机化排放分析仪(CDA3)是基于PC的数据采集系统。它从传统的模拟放电检测器的输出中捕获实时单独的PD脉冲。通过软件进行原始数据的集成分析。结果表明,通过使用神经网络,可以自动识别PD图案。对网络的输入可以是双相位解析的分布。通过使用预处理数据馈送网络,例如单变量分布的统计时刻或IEC-270集成量,可以减少其大小。

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