Fault Diagnosis of DC Charging Pile Based on Convolutional Neural Network and Wavelet Packet Feature Extraction-Reference-Cited by-同舟云学术

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Fault Diagnosis of DC Charging Pile Based on Convolutional Neural Network and Wavelet Packet Feature Extraction

Published:2024-06-21 Issue: Volume:37 Page:1234-1240
ISSN:
Container-title:2024 6th International Conference on Energy Systems and Electrical Power (ICESEP)
language:
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Author:

Jiao Dongxiang¹,Wang Yachao¹,Li Xuechao²,Qi Chengfei¹,Chen Shiwei³,Yang Ting³

Affiliation:

1. State Grid Jibei Electric Power Company Limited,Center of Metrology,Beijing,China

2. Tangshan Power Supply Company, State Grid Jibei Electric Power Company Limited,Beijing,China

3. School of Electrical and Information Engineering, Tianjin University,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649893/10651613/10652150.pdf?arnumber=10652150

Reference12 articles.

1. Fault diagnosis of DC-DC module of V2G charging pile based on Fuzzy Neural Network

2. Abnormal Detection System Design of Charging Pile Based on Machine Learning

3. Fault Diagnosis System for Electric Vehicle Charging Devices Based on Fault Tree Analysis

4. Research on Intelligent Diagnosis Strategy and Treatment Method of ev Charging Fault

5. Direct power control strategy for three-phase voltage source PWM rectifier;Bu;Chinese Journal of Power Sources,2013

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