In order to accurately identify the types of wheel faults in urban rail trains, a method based on improved ensemble empirical mode decomposition (EEMD) and Hilbert transform is proposed. The improved EEMD decomposition of the acquired vibration signal obtains several intrinsic mode functions (IMFs), and the Hilbert transform is performed on the IMF component containing the main information components, and judged the type of failure of the train wheels according to the fault characteristic frequency of the Hilbert spectrum. The experimental results show that the method can be used to identify the fault types of urban rail train wheels effectively and accurately.
Urban Rail Train Wheel Fault Diagnosis Based on Improved EEMD
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 ; Chapter : 14 ; 143-153
2020-04-04
11 pages
Article/Chapter (Book)
Electronic Resource
English
Urban Rail Train Wheel Fault Diagnosis Based on Improved EEMD
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