Circuit Breaker Fault Diagnosis Method Based on Improved One-Dimensional Convolutional Neural Network

Circuit Breaker Fault Diagnosis Method Based on Improved One-Dimensional Convolutional Neural Network

Aiming at the problems of manual feature extraction and poor generalization ability of model in traditional circuit breaker fault diagnosis technology, a circuit breaker fault diagnosis method based on improved one-dimensional convolutional neural network is proposed. Firstly, the input feature sequ...

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Bibliographic Details
Main Authors: Jie Shi, Guoqing Du, Haifeng Shen, Fei Ding, Weixiang Kong
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2022-01-01
Series:Tehnički Vjesnik
Subjects:
circuit breaker
data enhancement
global mean pooling
one-dimensional convolution
self-attention
Online Access:https://hrcak.srce.hr/file/408382

Internet

https://hrcak.srce.hr/file/408382

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