Robotics & Machine Learning Daily News2024,Issue(Nov.29) :158-159.

Findings in the Area of Machine Learning Reported from Democritus University of Thrace (A Machine Learning Based Fault Location Method for Power Distribution Sy stems Using Wavelet Scattering Networks)

Democritus of Thrace(一种基于机器学习的小波散射网络配电网故障定位方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :158-159.

Findings in the Area of Machine Learning Reported from Democritus University of Thrace (A Machine Learning Based Fault Location Method for Power Distribution Sy stems Using Wavelet Scattering Networks)

Democritus of Thrace(一种基于机器学习的小波散射网络配电网故障定位方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsR X记者从希腊Xanthi发回的报道称,“本文提出了一种新的基于机器学习的现代配电系统单端接地故障定位方法。识别横向缺陷的挑战被表述为基于支持向量机模型的分类问题,其中类表示分销网络。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Xanthi, Greece, by NewsR x journalists, research stated, “This paper proposes a novelmachine learning ba sed method for localizing single-line-to-ground faults in modern power distribut ion systems using single-end measurements. The challenge of identifying the faul ty lateral is formulated as asupport vector machine model-based classification problem, where a class represents a different part of thedistribution network.”

Key words

Xanthi/Greece/Europe/Cyborgs/Emergin g Technologies/Machine Learning/Democritus University of Thrace

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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