A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

Partial discharge (PD) pattern recognition approaches are designed to identify the types or severities of the insulation defects within the high voltage equipment, which is vital for evaluating potential harmfulness and making follow-up maintenance plan. In recent years, many advanced machine learni...

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Bibliographic Details
Main Authors: Jiachuan Long, Lijuan Xie, Xianpei Wang, Jun Zhang, Bing Lu, Chun Wei, Dangdang Dai, Guowei Zhu, Meng Tian
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Partial discharge
ultra-high frequency
pattern recognition
machine learning
deep learning
type recognition
Online Access:https://ieeexplore.ieee.org/document/10443433/

Internet

https://ieeexplore.ieee.org/document/10443433/

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