Journal of Terahertz Science and Electronic Information Technology , Volume. 19, Issue 4, 581(2021)
Anomaly detection method of electromagnetic time series based on attention mechanism
The realization of abnormal detection and pattern discovery of electromagnetic data is of great value to the judgment and early warning of abnormal behaviors of electromagnetic targets. Different types of electromagnetic data usually exist in the form of time series, with the characteristic of imbalance between normal data and abnormal data. To address these issues, a time series anomaly detection method is proposed based on the spatial-temporal joint attention mechanism. The channel attention mechanism and spatial attention mechanism are combined to enhance the feature representation of the abnormal part of time series data. Experimental results show that the proposed detection algorithm can effectively deal with the difficulty of data imbalance and has strong robustness.
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WANG Xiang, DENG Wen, LIU Shixiong, HUANG Zhitao. Anomaly detection method of electromagnetic time series based on attention mechanism[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 581
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Received: Apr. 15, 2021
Accepted: --
Published Online: Sep. 17, 2021
The Author Email: Xiang WANG (christoperwx@163.com)