Detection of AC Arc Faults of Aviation Cables Based on H-I-W Three-Dimensional Features and CNN-LSTM Neural Network

Detection of AC Arc Faults of Aviation Cables Based on H-I-W Three-Dimensional Features and CNN-LSTM Neural Network

Aiming at the difficulty in identifying subtle AC arcs in aviation cables, this paper proposes an arc fault detection method based on the combination of three-dimensional features and convolutional neural network-long short term memory (CNN-LSTM). Firstly, based on the SAE AS5692A standard, the vibr...

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Bibliographic Details
Main Authors: Xiaolin Liu, Deshun Huang, Tao Jing, Yanan Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Aviation cable
AC arc fault
H-I-W three-dimensional feature
CNN-LSTM neural network
Online Access:https://ieeexplore.ieee.org/document/9895419/

Internet

https://ieeexplore.ieee.org/document/9895419/

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