Open Access
ARTICLE
Unsupervised Anomaly Detection Approach Based on Adversarial Memory Autoencoders for Multivariate Time Series
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: