Open Access
ARTICLE
A Novel Method for Aging Prediction of Railway Catenary Based on Improved Kalman Filter
1 School of Electrical Engineering and Automation, Henan Institute of Technology, Xinxiang, 453003, China
2 Technology Center, Sichuan Injet Electric Co., Ltd., Deyang, 618000, China
3 Embedded System Research Institute, Xinxiang Engineering Research Center for Intelligent Condition Monitoring of Machinery, Xinxiang, 453003, China
* Corresponding Author: Jie Li. Email: