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Unsupervised Anomaly Detection Approach Based on Adversarial Memory Autoencoders for Multivariate Time Series

Tianzi Zhao1,2,3,4, Liang Jin1,2,3,*, Xiaofeng Zhou1,2,3, Shuai Li1,2,3, Shurui Liu1,2,3,4, Jiang Zhu1,2,3

1 Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110000, China
2 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110000, China
3 Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110000, China
4 University of Chinese Academy of Sciences, Beijing, 100000, China

* Corresponding Author: Liang Jin. Email: email

TSP_CMC_38595.pdf

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