New Support Vector Machines Study Findings Recently Were Published by Researcher s at Hohai University (Application of SCNGOVMD- SVM in Identification of Gas Ins ulated Switchgear Partial Discharge)

Robotics & Machine Learning Daily News2024，Issue(Apr.12) ：5-5.

来源：

NETL
NSTL

New Support Vector Machines Study Findings Recently Were Published by Researcher s at Hohai University (Application of SCNGOVMD- SVM in Identification of Gas Ins ulated Switchgear Partial Discharge)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on support vector machines is the su bject of a new report. According to newsreporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Partial dis charge (PD) is one of the main reasons of insulation deterioration in gas insula tedswitchgear (GIS). How to efficiently and accurately identify PD signals is a n important guarantee for thestable operation of GIS.”

Key words

Hohai University/Nanjing/People’s Repu blic of China/Asia/Algorithms/Machine Learning/Support Vector Machines

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航