Research on Wheel-Rail Contact Point Measurement Method Based on BiGRU
The wheel-rail contact point location is a critical parameter for assessing the state of wheel-rail interaction and evaluating the operational safety of trains.Its measurement is influenced by the presence of higher-order harmonics in the Wheatstone bridge signal.To address this issue,this study introduces a measurement method for wheel-rail forces and contact point location based on the BiGRU neural network model.Finite element simulation analysis of the instrumented wheelset revealed that the strain in the spokes changes correspondingly when a vertical force is applied to different lateral positions on the wheel tread,enabling the detection of the wheel-rail contact point location.The Wheatstone bridge configuration is designed according to Fourier series theory,prioritizing the fundamental harmonic and eliminating the even order and 3rd,and 5th harmonics.The paper also analyzes the computational principles of the analytical method.The BiGRU neural network model is structured to compute the wheel-rail force and contact point location using the measured bridge signal as input.The findings indicate that the proposed method can mitigate the interference of higher-order harmonics in the bridge signal,significantly enhancing the precision of the wheel-rail force and contact point location calculations.
wheel-rail contact pointBiGRUfinite element analysis
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