The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion
Author:
Affiliation:
1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
2. National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
National Science Fund for Excellent Young Scholars
State Key Laboratory of Rail Traffic Control and Safety
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/5117645/10015073/09786783.pdf?arnumber=9786783
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