Different wavelength components of track irregularity have different effects on train running smoothness and comfort. Here, in order to more effectively identify potential diseases of track, a weighted evaluation index for sensitive wavelength of track irregularity based on band pass filtering was proposed, i.e., the track weighted quality index (F-TWQI). The weight curve of sensitive wavelength was determined based on dynamic response analysis of vehicle-track coupled systems. Then track irregularity was divided in frequency domain with 1/3 octave and the corresponding band-pass filters were designed. Standard deviations of track irregularity wave components within each frequency band were weighted and summed to obtain F-TWQI. Taking the data measured with an inspection vehicle for track vertical profile irregularity as an example, three correlation coefficients between TQI and UIC513, E-TWQI obtained based on EMD and UIC513, F-TWQI and UIC513, respectively were compared and analyzed. The results showed that three correlation coefficients are in ranges of 0.60-0.70, 0.70-0.75 and 0.80-0.85, respectively; sensitive wavelengths being weighted can better reflect track actual state; F-TWQI can avoid limitations of E-TWQI’s endpoint effect to greatly improve computational efficiency, and provide a new method for quickly and accurately analyzing hidden dangers of safety in railway engineering.
Key words
track irregularity /
sensitive wavelength /
band-pass filter /
track weighted quality index
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