Wheel polygon identification method based on wheel-rail vertical force and device thereof
A technology of wheel-rail vertical force and identification method, which is applied in the direction of measuring device, rim measurement/measurement, instrument, etc., can solve the problems of endangering driving safety, restricting, affecting passenger comfort, etc., and achieve the effect of avoiding safety accidents
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Embodiment 1
[0056] Embodiment 1: as Figure 1-7 As shown, this embodiment specifically relates to a wheel polygon recognition method and device based on wheel-rail vertical force, which specifically includes the following steps:
[0057] (step 1)
[0058] 1.1) If figure 1 , 2 , 3, carry out the installation and layout of the wheel polygon recognition device, the wheel polygon recognition device specifically includes a strain acquisition module, a train speed acquisition module, a data long-distance transmission module and a remote monitoring module; wherein, the strain acquisition module includes several sets of For the resistance strain gauges 3 at the rail waist of the rail 1, five groups of resistance strain gauges 3 are arranged in total in this embodiment, and the setting positions of each resistance strain gauge 3 are located at the mid-span position between adjacent sleepers 2; the train speed acquisition module is specifically The speed measuring instrument on the train is used...
Embodiment 2
[0091] Embodiment 2: This embodiment specifically relates to a wheel polygon recognition method based on the wheel-rail vertical force. On the basis of Embodiment 1, it will be described in conjunction with a specific case, including the following steps:
[0092] (step 1) as in image 3 As shown in , it is preliminarily estimated that a certain wheel has been ovalized, and the wheel-rail vertical force signal is measured through the strain acquisition module set on the rail 1, as shown in Figure 5 Shown; then the wheel-rail vertical force signal is decomposed by EEMD to obtain the lumped intrinsic mode function IMF component, as shown in Figure 6 as shown; similarly, the other three wheel polygons use the same method for signal decomposition;
[0093] (Step 2) Integrate the lumped intrinsic mode function IMF components in the time domain to obtain the signal marginal spectrum, such as Figure 7 It can be seen from the figure that the damage characteristic frequency f of th...
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