基于判别树的配电线路故障诊断

M. Togami, N. Abe, T. Kitahashi, H. Ogawa
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引用次数: 0

摘要

讨论了一种建立判别树的方法及其在基于机器学习的电力故障诊断系统中的应用。提出了一种由机器学习系统自动开发的单配电线路诊断算法。比较了判别树、人工神经网络和专家系统在机器学习故障诊断中的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault diagnosis of power distribution lines by using discrimination tree
A method for creating a discrimination tree and its application in a machine-learning-based power fault diagnosis system are discussed. An algorithm for diagnosing a single distribution line that is developed automatically by the machine learning system is presented. The performance of machine learning for fault diagnosis using a discrimination tree, an artificial neural network, and an expert system are compared.<>
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