Defect Identification Method of Cable Termination based on Improved
Gramian Angular Field and ResNet
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Published:2024-02
Issue:2
Volume:17
Page:159-169
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ISSN:2352-0965
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Container-title:Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
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language:en
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Short-container-title:EEENG
Author:
Sun Chuanming1,
Wu Guangning1,
Xin Dongli1,
Liu Kai1,
Gao Bo1,
Gao Guoqiang1
Affiliation:
1. School of Electrical Engineering, Southwest Jiao-tong University, Chengdu, 611756, Sichuan Province, China
Abstract
Background:
This paper proposes a defect identification method for vehicle-mounted
cable terminals in electric multiple units (EMUs) based on the improved Graham angle field and
residual network to address the issue of low recognition accuracy caused by the lack of partial discharge
(PD) and identification data for Ethylene Propylene Rubber (EPR) cable terminal defects.
Methods:
The improved Gramian angular field (IGAF) characteristic transformation method was
used to transform the PD one-dimensional time-series signal into a two-dimensional one after cable
terminals with four common insulation defects were constructed, and a PD detection platform was
built. Finally, an anti-aliasing downsampling module and attention mechanism were added to the
residual network ResNet101 model. The Center loss and Softmax loss functions were integrated to
increase accuracy for training and recognition classification. Topological feature images improved
the distinguishability of defect categories.
Results:
The test results showed that the diagnostic method has an accuracy rate of 97.3% for identifying
PD at the cable terminal.
Conclusion:
The proposed diagnosis model has higher recognition accuracy and better balance than
other conventional fault diagnosis methods, making it suitable for diagnosing high-voltage cable
faults in EMU trains.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials