Edge-computing-based knowledge distillation and multitask learning for partial discharge recognition

Edge-computing-based knowledge distillation and multitask learning for partial discharge recognition

Developing an accurate partial discharge (PD) monitoring system for switchgear has attracted significant attention in recent times. Detecting and distinguishing PDs with a portable PD detector is challenging due to the inherent noise interference and the similarity among different PD signals in fiel...

Full description

Bibliographic Details
Main Authors: Ji, Jinsheng, Shu, Zhou, Li, Hongqun, Lai, Kai Xian, Lu, Minshan, Jiang, Guanlin, Wang, Wensong, Zheng, Yuanjin, Jiang, Xudong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Knowledge distillation
Multitask learning
Online Access:https://hdl.handle.net/10356/176236

Internet

https://hdl.handle.net/10356/176236

Similar Items