Based on the frequent occurrence of the global non-roundness phenomenon of urban rail vehicle wheels, a global non-roundness detection algorithm for urban rail vehicle wheels based on vibration signals is proposed. Firstly, extract valid data segments from the vibration signals and denoise the vibration signals. Secondly, use the feature extraction algorithms to obtain the non-roundness characteristics of the actual wheels. Finally, the faults and the global non-roundness order are identified according to the characteristics. The feasibility and effectiveness of the algorithm are proved by simulation and field data analysis.
A Global Non-roundness Detection Algorithm for Urban Rail Vehicle Wheels
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019
Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 ; Kapitel : 6 ; 57-65
2020-04-04
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Global non-roundness of wheel , Vibration signal , Wavelet threshold denoising , Multi-scale permutation , Extreme learning machine Engineering , Transportation Technology and Traffic Engineering , Computational Intelligence , Control and Systems Theory , Information Systems Applications (incl. Internet)
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