Feature extraction and severity assessment of partial discharge under protrusion defect based on fuzzy comprehensive evaluation-Reference-Cited by-同舟云学术

Feature extraction and severity assessment of partial discharge under protrusion defect based on fuzzy comprehensive evaluation

Published:2015-12 Issue:16 Volume:9 Page:2493-2500
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Zeng Fuping¹,Dong Yulin²,Tang Ju¹³

Affiliation:

1. School of Electrical EngineeringWuhan UniversityWuhan430072Hubei ProvincePeople's Republic of China

2. Changsha Power Supply Company, State Grid Hunan Electric Power CompanyChangsha410015Hunan ProvincePeople's Republic of China

3. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing UniversityChongqing400044People's Republic of China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2015.0403

Reference24 articles.

1. Conditions of discharge-free operation of XLPE insulated power cable systems

2. Study on mathematical model for VHF partial discharge of typical insulated defects in GIS

3. Oil-paper aging evaluation by fuzzy clustering and factor analysis to statistical parameters of partial discharges

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-source domain adaptation network for partial discharge severity assessment in gas-insulated switchgear;Measurement Science and Technology;2024-09-09

2. PMSNet: Multiscale Partial-Discharge Signal Feature Recognition Model via a Spatial Interaction Attention Mechanism;Sensors;2024-05-23

3. A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches;IEEE Access;2024

4. Exploration of the standardization strategy of enterprise economic management mode in the context of the digital economy era;Applied Mathematics and Nonlinear Sciences;2024-01-01

5. Cable Temperature Prediction Based on RF-GPR for Digital Twin Applications;Applied Sciences;2023-06-29