Abstract
This paper proposes a rail defect detection method based on vibration acceleration signals. The vibration signals are generated from the vehicle-track coupling model by inputting different typical rail defect excitations. The empirical mode decomposition method is used to decompose the signal. Intrinsic mode functions that have a big cross-correlation coefficient with the original signal are selected, and then the instantaneous energy distributions of the selected intrinsic mode functions are calculated. By comparing the cross-correlation coefficient of the instantaneous energy distribution of different rail defect signals, the type and the damage level of rail defect can be identified.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.