A New Method for Detecting Rail Short Wave Irregularity

Abstract

In order to realize continuous detection of rail short wavelength irregularity and improve its detection precision, a new four-point method based on chord reference method is derived and presented. Then a simulation waveform consisting of 10 random sine waves has been used for scientific determination of the three separation distances. The new method’s automatic recovery program is developed by MATLAB. The restored waveforms are compared with the results from RMF-2.3E devices and thus the detection precision is achieved. Results show higher detection precision and reliability by over 87% relative percentage comparing to the traditional three-point method, which shows the great applicability and superiority of the new method.