From anomaly detection to classification with graph attention and transformer for multivariate time series
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Published:2024-04
Issue:
Volume:60
Page:102357
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ISSN:1474-0346
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Container-title:Advanced Engineering Informatics
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language:en
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Short-container-title:Advanced Engineering Informatics
Author:
Wang ChaoyangORCID,
Liu GuangyuORCID
Reference58 articles.
1. A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things;Xu;Soft Comput.,2023
2. T. Reiss, Y. Hoshen, Mean-shifted contrastive loss for anomaly detection, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 37, No. 2, 2023, pp. 2155–2162.
3. Time Series Analysis;Hamilton,2020
4. Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data;Zheng;Reliab. Eng. Syst. Saf.,2023
5. Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines;Dhiman;IEEE Trans. Energy Convers.,2021
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