Title :
Condition monitoring for train suspension system based on cross-correlation
Author :
Jin Guo ; Ning Ren ; Zhengguo Xu ; Minyue Fu ; Youxian Sun
Author_Institution :
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
The paper improves the cross-correlation method about the condition monitoring for train suspension systems. The faults of both the spring and the damper are discussed and the improved technique helps quantify the result of the detection in a great accuracy. A side-view model of the vehicle is employed and the simulation verifies the effectiveness of this method.
Keywords :
condition monitoring; damping; fault diagnosis; mechanical engineering computing; railway engineering; railways; springs (mechanical); suspensions (mechanical components); vehicle dynamics; vibrations; condition monitoring; cross-correlation method; damper; fault detection; spring; train suspension system; vehicle side-view model; Damping; Equations; Sun; Suspensions;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957849
