基于信息技术的轨道动态检测数据波峰校正

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Abstract Research purposes: The comparison of the data of track inspection car can analyze the maintenance quality and change trend of track. However, in practical application, there are different degrees of mileage error in each data, and waveform of these detection data cannot be aligned. This paper proposes a peak alignment technology, which calculates and corrects the mileage error of two or more detection data by selecting characteristic index, filtering the peak and trough point sets, eliminating the interference data and aligning calculation. This method is developed into software and integrated with the TQI analysis, data analysis, which can realize multi-dimensional application of detection data.
Research conclusions: (1) Test results show that peak alignment can improve the fitting degree of two or more detection curves. This method can effectively improve the correction accuracy of relative mileage error. (2) This technology has been developed into software and applied to subway lines. After application verification, the expected effect has been achieved.

Key words： track inspection car mileage error peak alignment characteristic index

Received: 13 September 2021

PACS:

U231.92

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	GUO Yeli

Cite this article:

GUO Yeli. Peak Alignment of Track Dynamic Detection Data Based on Information Technology[J]. Journal of Railway Engineering Society, 2022, 39(3): 46-49.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2022/V39/I3/46

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