Citation: | CONG Jianli, WANG Yuan, XU Zhou, LI Wei, CHEN Rong, WANG Ping. Rail Corrugation Measurement Method Based on Vibration-Noise Fusion in Metro System[J]. Journal of Southwest Jiaotong University, 2023, 58(3): 677-684. doi: 10.3969/j.issn.0258-2724.20220260 |
To realize the condition-based maintenance of rail corrugation in a data-driven way, a time-space intensive measurement method of rail corrugation is proposed. First, the intelligent terminal is used to detect vibration and noise at a car body of the train formation, the acceleration waveforms in three directions of different car bodies were matched to obtain the estimated time delay, and the error of the train speed and mileage estimation was corrected. Second, the car voiceprint data is analyzed with the voiceprint spectrum energy method, and the corrugation-noise ratio index is defined to quantify the ratio of rail corrugation noise energy and its high-order harmonic energy to the total noise energy, as the basis for automatic identification of rail corrugation. Finally, the inverse mapping relationship between the train response and rail corrugation sate is established to obtain the rail corrugation wavelength and mileage information when the corrugation-noise ratio exceeds the limit. The field test in metro line is taken as an example, where a rail corrugation measurement trolley was used to measure the shortwave irregularity of the rail surface on 1.6 km rail, and the measured peak-to-peak value in the wavelength range of [0,50] mm was compared to the corrugation-noise ratio of voiceprint data. The results show that, when the threshold of the corrugation-noise ratio is set as 0.2, the rail corrugation identified by the voiceprint data is consistent with the line distribution, which verifies that this method can enhance data evidence in evaluating rail corrugation state.
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