Train wheel polygon detection signal processing method and system

Abstract

The invention discloses a train wheel polygon detection signal processing method and system. The method comprises the steps of collecting detection waveform data generated when a train wheel rotates by one circle; removing abnormal data points in the detection waveform data, segmenting the detection waveform data by taking the abnormal data points as segmentation points, and generating pre-anomaly detection waveform data and post-anomaly detection waveform data; performing end-to-end splicing in a manner that the post-anomaly detection waveform data is in the first place and the pre-anomaly detection waveform data is in the second place to generate real detection waveform data; performing fourier transform calculation on the real detection waveform data to generate a frequency spectrum of the waveform data, and using a roughness level calculation method to generate wheel roughness data. According to the invention, by improving the detection waveform processing method and utilizing the characteristic that wheel physical positions and waveform characteristics represented by the head and the tail of the collected detection waveform data after the wheel rotates by a circle in the circumferential direction can be connected, the problem that an existing train wheel polygon detection signal processing method is low in detection result reliability is solved.

Description

technical field [0001] The invention relates to the technical field of rail vehicle detection, in particular to a train wheel polygon detection signal processing method and system thereof. Background technique [0002] During the operation of the train, due to factors such as wheel-rail friction, unsatisfactory lines, and wheel-rail matching, it is easy to cause periodic wear of the wheel circumference, which is the wheel polygon; because the wheel polygon will cause the inherent wheel-rail vibration frequency when the vehicle is running, It has a great impact on the safety of operation; therefore, at present, vibration acceleration sensors are mostly used for vehicle-mounted and rail-side polygon detection, also known as indirect detection methods, and displacement sensors such as lasers are also used for static or online dynamic polygon detection in the library, also known as It is the displacement detection method. [0003] Regardless of the indirect detection method or ...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a train wheel polygon detection signal processing method and its system. By improving the detection waveform processing method, the wheel physical characteristics represented by the first and last of the detection waveform data collected by the wheel circumferential rotation are utilized. The position and waveform features can be connected, and by judging the abnormal type of abnormal data points, it solves the problem of low reliability of the detection results existing in the existing train wheel polygon detection signal processing method

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