| Autor: |
Xue Yaolei, Xu Lu, Chun-Hsiang Lee, Hongfeng Tao, Lin Xiunao, Chao Wu |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence. |
| DOI: |
10.1145/3395260.3395271 |
| Popis: |
The safety of an uninterruptible power supply (UPS) unit is very important in the operation of a telecommunication room. It is necessary to identify and replace abnormal electrical batteries of the UPS to ensure the normal operation of the equipment. In this paper, a single-model method based on isolation forest and hyperparameter tuning is proposed for detecting abnormal batteries. Experimental results show that the proposed method is efficient in offline situations. A multi-model method is also proposed to deal with the online anomaly detection problem, which is found performing well. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
