A framework of partial discharge detection for gas-insulated switchgear based on LSTM and multi-head attention

A framework of partial discharge detection for gas-insulated switchgear based on LSTM and multi-head attention

ObjectivesTo achieve long-term stable operation of electrical equipment， a framework for anomaly detection and classification of partial discharge （PD） in gas insulated switchgear （GIS） based on long short-term memory （LSTM） networks and a multi-head attention mechanism was proposed.MethodsFirstly，...

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Bibliographic Details
Main Authors: YANG Zhengsheng, LIU Fang
Format: Article
Language:zho
Published: Academic Publishing Center of HPU 2025-03-01
Series:河南理工大学学报. 自然科学版
Subjects:
long short term memory
gas insulated switchgear
phased-resolved partial discharge
anomaly detection
multi-head attention
Online Access:http://xuebao.hpu.edu.cn/info/11197/96076.htm
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