Cover Image

Exploring best-matched embedding model and classifier for charging-pile fault diagnosis

CC BY

Saved in:
Bibliographic Details
Main Authors: Wen, Wang, Jianhua, Wang, Xiaofeng, Peng
Format: Book
Language:English
Published: Springer 2023
Subjects:
charging-pile deployment
existing fault-diagnosis
Online Access:https://link.springer.com/article/10.1186/s42400-023-00138-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7694
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:localhost:PNK-7694
record_format dspace
spelling oai:localhost:PNK-76942023-04-10T01:23:05Z Exploring best-matched embedding model and classifier for charging-pile fault diagnosis Wen, Wang Jianhua, Wang Xiaofeng, Peng charging-pile deployment existing fault-diagnosis CC BY The continuous increase of electric vehicles is being facilitating the large-scale distributed charging-pile deployment. It is crucial to guarantee normal operation of charging piles, resulting in the importance of diagnosing charging-pile faults. The existing fault-diagnosis approaches were based on physical fault data like mechanical log data and sensor data streams. However, there are other types of fault data, which cannot be used for diagnosis by these existing approaches. This paper aims to fill this gap and consider 8 types of fault data for diagnosing, at least including physical installation error fault, charging-pile mechanical fault, charging-pile program fault, user personal fault, signal fault (offline), pile compatibility fault, charging platform fault, and other faults. 2023-04-10T01:23:05Z 2023-04-10T01:23:05Z 2023 Book https://link.springer.com/article/10.1186/s42400-023-00138-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/7694 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic charging-pile deployment
existing fault-diagnosis
spellingShingle charging-pile deployment
existing fault-diagnosis
Wen, Wang
Jianhua, Wang
Xiaofeng, Peng
Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
description CC BY
format Book
author Wen, Wang
Jianhua, Wang
Xiaofeng, Peng
author_facet Wen, Wang
Jianhua, Wang
Xiaofeng, Peng
author_sort Wen, Wang
title Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
title_short Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
title_full Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
title_fullStr Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
title_full_unstemmed Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
title_sort exploring best-matched embedding model and classifier for charging-pile fault diagnosis
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1186/s42400-023-00138-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7694
_version_ 1762818479460712448
score 8.887836

Similar Items