A novel fault diagnosis method of power cable based on convolutional probabilistic neural network with discrete wavelet transform and symmetrized dot pattern-Reference-Cited by-同舟云学术

A novel fault diagnosis method of power cable based on convolutional probabilistic neural network with discrete wavelet transform and symmetrized dot pattern

Published:2022-11-05 Issue:2 Volume:17 Page:58-70
ISSN:1751-8822
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science Measure & Tech

Author:

Sian Hong‐Wei¹,Kuo Cheng‐Chien¹,Der Lu Shiue‐²,Wang Meng‐Hui²

Affiliation:

1. Department of Electrical Engineering National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da'an Dist. Taipei City Taiwan

2. Department of Electrical Engineering National Chin‐Yi University of Technology No.35, Lane 215, Sec.1, Chung Shan Road, Taiping Taichung City Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/smt2.12130

Reference36 articles.

1. Voltages and AC Corrosion on Metallic Tubes in Umbilical Cables Caused by Magnetic Induction From Power Cable Charging Currents

2. Power Network Reliability Framework for Integrating Cable Design and Ageing

3. Dynamic Thermal Analysis of High-Voltage Power Cable Insulation for Cable Dynamic Thermal Rating

4. Partial discharge detection for characterizing cable insulation under low and medium vacuum conditions

5. Effect of harmonic voltage on partial discharge properties of LN2/PPLP insulation for HTS DC Cable;Li Z.;IEEE Trans. Appl. Supercond.,2021

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