A Method for Detection of Rail Surface Depression Based on Wavelet Analysis

Abstract

The invention discloses a track surface indentation detection method based on wavelet analysis. The method comprises the following steps: first installing a vibration acceleration sensor and a rotating pulse speed measurement sensor on an axle box of a vehicle body, obtaining a vertical vibration acceleration and a transverse vibration acceleration of the axle box and a vehicle speed, and filtering by adopting a low-pass filter; secondly, filtering a repeating peak value possibly caused by a wheel flat in a vertical vibration signal according to a wavelet energy scalogram of the filtered signal; then analyzing and positioning an energy excitation point by virtue of a wavelet energy spectrum, and analyzing a vibration signal frequency variation range caused by track surface indentation; and finally selecting an appropriate frequency scale to calculate a scale average wavelet energy spectrum in a frequency range related to the track surface indentation, setting a track surface indentation detection threshold value in the scale average wavelet energy spectrum, and judging whether a track surface has the indentation or not by virtue of the threshold value. The track surface indentation detection method is low in cost, simple and convenient in engineering construction and capable of providing effective instructions to the maintenance of a track.

Description

Technical field [0001] The invention relates to the technical field of railway track state detection, in particular to a track surface depression detection method based on wavelet analysis. Background technique [0002] Track is an important part of urban rail transportation. In the daily train operation process, with the repeated compression and impact of train wheels, the track will undergo vertical and lateral dynamic and permanent deformations, which will be in an uneven state. During train operation, track irregularities are the primary cause of abnormal train vibration. The impact of track irregularities on train vibration is related to its wavelength. Long-wave irregularities will cause discomfort to passengers and reduce the operating company’s operating level. Smoothness will cause a sharp increase in wheel-rail force, which will increase train vibration and reduce the life of train parts. As one of the most dangerous short-wave track irregularities, the track surface d...

AI Technical Summary

Problems solved by technology

The detection items of the rail inspection vehicle based on the string measurement method are relatively few, and the detection accuracy is low; the measurement accuracy of the rail inspection vehicle based on the machine vision method is high, but the cost is expensive, and the equipment maintenance cost is high; the inertial reference method installs vibration sensors on operating trains Orbit detection can be realized, the measurement complexity is low, but the measurement stability is poor

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