Robotics & Machine Learning Daily News2024,Issue(Dec.5) :36-37.

Study Findings on Machine Learning Are Outlined in Reports from Southwest Jiaoto ng University [Evaluation of Grounding Grid Corrosion Extent Based On Laser-induced Breakdown Spectroscopy (Libs) Combined With Machine Learn ing]

西南交大的报告概述了机器学习的研究结果[基于激光诱导击穿光谱(Libs)和机器学习结合的接地网腐蚀程度评估]

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :36-37.

Study Findings on Machine Learning Are Outlined in Reports from Southwest Jiaoto ng University [Evaluation of Grounding Grid Corrosion Extent Based On Laser-induced Breakdown Spectroscopy (Libs) Combined With Machine Learn ing]

西南交大的报告概述了机器学习的研究结果[基于激光诱导击穿光谱(Libs)和机器学习结合的接地网腐蚀程度评估]

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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。据新闻报道原发于中华人民共和国成都,由NewsRx Research记者报道作为最广泛使用的能源形式之一,电力系统的安全性和稳定性受到广泛关注。对现代社会至关重要。接地网在运行过程中耗散电流并降低接触电压和同步电压雷击或故障电流,确保人员和设备的安全。

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 originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “As one of t he most widely used forms of energy, the safety and stability of power systems a recrucial to modern society. Grounding grids dissipate current and reduce touch and pace voltage duringlightning strikes or fault currents, ensuring the safet y of personnel and equipment.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southwest Jiaotong Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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