Open Access
ARTICLE
An Anomaly Detection Method of Industrial Data Based on Stacking Integration
1 College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, 110159, China
2 Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China
3 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
4 Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China
* Corresponding Author: Xianda Liu. Email: