Method and apparatus for identifying polygonization of high speed train wheels

A high-speed EMU, polygonal technology, applied in signal pattern recognition, character and pattern recognition, instruments, etc., can solve the problem that the state monitoring technology of wheels and deformation parts lags behind market demand and affects the comfort, safety and environmental protection of high-speed railways , Restricting the service quality of the high-speed railway network, etc., to achieve the effect of improving work efficiency

Inactive Publication Date: 2018-11-02
THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, many detection technologies for wheel polygonal faults using roadside sensing equipment are still in the research and development stage, and the development of wheel and deformation part state monitoring technology is far behind the market demand, which makes the wheel repairing work lack of effective basis...

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  • Method and apparatus for identifying polygonization of high speed train wheels
  • Method and apparatus for identifying polygonization of high speed train wheels
  • Method and apparatus for identifying polygonization of high speed train wheels

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Experimental program
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Embodiment 1

[0043] refer to figure 1 , figure 1It is a flow chart of the implementation of the high-speed EMU wheel polygon recognition method provided by the embodiment of the present invention. This method is applied to the terminal, such as figure 1 Shown, the recognition method of this high-speed EMU wheel polygonization can comprise the following steps:

[0044] S101, using a longitudinal strain sensor at the bottom of the rail to obtain the rail response signal under the wheel excitation by monitoring the response of the wheel excitation to the rail passing through the section;

[0045] When the wheel passes the bottom of the rail, execute S101.

[0046] Optionally, before S101, the identification method includes:

[0047] On the steel rail of the left rail or the right rail, strain sensors are arranged longitudinally to form a strain sensor array, so as to realize polygonal fault detection covering the entire wheel tread circumference.

[0048] Wherein, the strain sensors are a...

Embodiment 2

[0070] The embodiment of the present invention describes the implementation process of rail response signal extraction and vehicle speed calculation under the excitation of each wheel, which is described in detail as follows:

[0071] Identify the peak value Ps of the signal collected by a single strain sensor and the time Pt ​​corresponding to the peak value, and take the number of points (N-1) / 2 on the left and right sides of each peak value to form an N×1 sequence si,j together with the peak value, which is the ith The track bottom strain response signal under the excitation of the jth wheel collected by a strain sensor;

[0072] Among them, i∈(1,M), M is the number of strain sensors in the single-side track bottom strain sensor array, j∈(1,L), Ps and Pt are both 1×L vectors, and L is the wheel set of the entire EMU Number, the sequence length N is an adjustable parameter. The sequence length N can be adjusted according to the sampling frequency and the relationship betwee...

Embodiment 3

[0094] The embodiment of the present invention describes the implementation process of wheel polygon fault feature extraction, which is described in detail as follows:

[0095] The feature extraction of wheel polygonal fault is based on the preprocessing of the rail response signal, and the signal feature extraction is performed on the rail response signal S' after the trend disappears.

[0096] Firstly, formula (1) is rewritten as a function of the frequency of the response signal as the order of the polygon:

[0097]

[0098] As mentioned above, a polygonized wheel of a certain order will excite a fixed-frequency rail response, and the response energy will be concentrated in a narrow-band frequency range. In order to identify the order of the polygon, the rail strain response signal can be decomposed according to different frequency bands. The center frequency of each frequency band is f(h), which is determined by a specific order h, and the upper and lower limit frequen...

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Abstract

The invention is applicable to the technical field of wear identification of high speed train wheels, and provides a method and apparatus for identifying the polygonization of high speed train wheels.The method comprises the following steps: using a longitudinal strain sensor at the bottom of a rail to obtain a steel rail response signal under wheel excitation by monitoring the response generatedby the wheel excitation on a travelling section to the steel rail; preprocessing the steel rail response signal under wheel excitation; extracting signal features on the preprocessing basis of the steel rail response signal to construct a wheel polygonization index; and identifying a wheel polygonization fault by using the constructed wheel polygonization index. The method and apparatus providedby the invention have two advantages: on one hand, online identification of the polygonization state of the high speed train wheels is achieved, and wheel fault early warning is provided, and on the other hand, the state evolution of the high speed train wheels is tracked to guide the wheel repair work. On the basis of the high-efficiency identification algorithm software developed in the invention, a timely and effective detection and repair measure can be taken on the wheel having the polygonization fault.

Description

technical field [0001] The invention belongs to the technical field of high-speed railway train wheel wear recognition, and in particular relates to a polygonal recognition method and device for high-speed EMU wheels. Background technique [0002] Wheel polygonization fault is a typical phenomenon of wheel non-roundness. Existing detection methods can be roughly divided into two categories: static detection and dynamic detection. [0003] The static detection method is mainly based on mechanical contact detection technology and image detection technology, which belongs to the category of non-destructive testing. It requires the vehicle to scan the circumference of the wheel tread through a portable ultrasonic detection device in a static state, and can obtain the radial runout of the wheel tread relatively quickly. Because this technology can obtain more accurate wheel out-of-roundness detection results, most railway operating departments at home and abroad, including China...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/02
Inventor 倪一清刘晓舟袁懋诞王俊芳
Owner THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST
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