Vibration signal filtering device and method for high-speed train unstability detection

Abstract

The invention discloses a vibration signal filtering device and method for high-speed train unstability detection. The device comprises more than one elastic filter assembly, and a signal acquisition unit connected with the elastic filter assemblies, respectively; the elastic filter assemblies are all arranged on the bogie of a target high-speed train and rigidly connected with the bogie; each elastic filter assembly comprises a vibration filtering damper having a specified viscous damping coefficient and used for absorbing and filtering vibration impact on the bogie when the train runs; the signal acquisition unit is used for acquiring vibration impact conducted and output after absorption and filtering by the vibration filtering dampers and performs signal conversion to form filtered vibration signals for outputting; the method is an implementation method employing the device. The vibration signal filtering device for high-speed train unstability detection is capable of meeting the requirement on high-speed train unstability detection, and has the advantages of simple structure, low required cost, easy implementation, high filtering accuracy, fast system response and the like.

Description

technical field [0001] The invention relates to the technical field of high-speed trains, in particular to a filtering device and method for vibration signals used in high-speed train instability detection. Background technique [0002] With the development of high-speed railways, the dynamic performance requirements of high-speed train vehicles are getting higher and higher. How to ensure the motion stability of vehicles at high speeds has also become an important issue affecting the safe operation of trains. In order to ensure the safe operation of rail vehicles, it is usually necessary to detect the stability of the lateral movement of the vehicle relative to the track direction, so as to detect dangerous movement conditions such as snaking instability as early as possible. Once the vehicle system becomes unstable, its running quality will deteriorate sharply, and the running stability will also be greatly reduced. Snaking instability will lead to strong interaction betwe...

AI Technical Summary

Problems solved by technology

[0007] 1) The circuit scale is limited by the size of the PCB, and high-order (above 256-order) filtering cannot be realized, and the precision is low and the effect is poor; for example, the detection device accuracy of the above-mentioned CRH380A car is 10%;

[0008] 2) Due to poor single-stage effect, multi-stage filter cascade processing is generally required, resulting in complex circuit structure, many parameters to be calculated and matched, and difficult to design and debug;

[0009] 3) Analog electronic devices are easily affected by environmental factors during use. After working for a long time, parameters will drift and the accuracy will deteriorate. Regular calibration is required

[0013] 1) Since software filtering is realized through mathematical calculations, the filtering effect is related to the amount of calculation. To obtain an excellent filtering effect, massive calculations are required, and a powerful processor must be used;

[0014] 2) FIR (FiniteimpactResponse, finite impulse response) filtering has a delay t affected by the filter order and signal sampling rate, which cannot be reduced by optimization software; and when the filter order increases, this delay will be synchronized increase, affecting real-time performance

[0015] 3) The signal-to-noise ratio of the signal cannot be improved in the single sampling mode, so the effective signal will be distorted when processing the low-signal-to-noise ratio signal

Although this type of filtering method can achieve a certain balance between system response and accuracy, this method cannot completely eliminate the disadvantages of the two methods, and it will make the system more complicated and difficult to implement.

[0018] To sum up, no matter which type of current filtering method is used, it is based on the power signal of the sensor for processing. It is necessary to build a special processing circuit or processing software, which is restricted by factors such as power supply, heat generation, and volume, and cannot avoid slow response. Defects such as poor precision and complex system are difficult to meet the real-time detection requirements of high-speed trains

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