Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1186/s42400-023-00138-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/7694 |
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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 |