Data on Machine Learning Described by Researchers at Universiti Malaya (Denoisin g of partial discharges in switchgear insulation material using hybrid wavelet d enoising-optimization-machine learning)

马来亚大学研究人员描述的机器学习数据（使用混合小波d优化机器学习去除开关设备绝缘材料局部放电）

Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：178-178.

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Data on Machine Learning Described by Researchers at Universiti Malaya (Denoisin g of partial discharges in switchgear insulation material using hybrid wavelet d enoising-optimization-machine learning)

马来亚大学研究人员描述的机器学习数据（使用混合小波d优化机器学习去除开关设备绝缘材料局部放电）

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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-关于人工智能的新研究成果已经发表。据新闻报道NewsRx记者从马来西亚吉隆坡报道，研究称，“局部放电(PD)”诊断对于评估电力设备的绝缘状态是必不可少的，但现场故障往往噪声污染PD信号，影响诊断准确性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Kuala Lumpur, Malay sia, by NewsRx journalists, research stated, “Partial discharge (PD)diagnosis i s essential for assessing the insulation status of power equipment, but onsite i nterferences oftencontaminate PD signals with noise, impacting diagnostic accur acy.”

Key words

Universiti Malaya/Kuala Lumpur/Malaysi a/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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