Robotics & Machine Learning Daily News2024,Issue(Jun.11) :124-125.

Researchers from Alagappa Chettiar Government College of Engineering and Technology Detail Findings in Machine Learning (A machine learning-based assessment mod el for defect diagnosis in XLPE power cables)

阿拉加帕·切蒂亚尔政府工程与技术学院的研究人员详细介绍了机器学习(基于机器学习的XLPE电力电缆缺陷诊断评估模型)的发现

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :124-125.

Researchers from Alagappa Chettiar Government College of Engineering and Technology Detail Findings in Machine Learning (A machine learning-based assessment mod el for defect diagnosis in XLPE power cables)

阿拉加帕·切蒂亚尔政府工程与技术学院的研究人员详细介绍了机器学习(基于机器学习的XLPE电力电缆缺陷诊断评估模型)的发现

扫码查看

摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx记者从阿拉加帕切蒂亚尔政府工程技术学院获得的消息,研究表明:“交联聚乙烯(XLPE)电力电缆在柔性直流输电应用中普遍使用,XLPE电力电缆的缺陷诊断一直是研究的重点,因为它是电力输送的必要设备。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Alagappa Chettiar Government College of Engineering and Technology by NewsRx correspondents, research stated, “Cross-linked polyethylene (XLPE) power cables are commonly used in flexible DC transmission applications. The diagnosis of the defects of XLPE power cable has consistently been a focal point of research as it is an essential equipment for power delivery.”

Key words

Alagappa Chettiar Government College of Engineering and Technology/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文