Research on Prediction Technology of Wheel-rail Noise for Rail Conveyors
Aiming at the problem of noise pollution generated by rail conveyor in operation,based on the noise data collected from field tests,a modeling method of wheel-rail noise for rail conveyor based on polynomial surface fitting of parametric optimization is proposed.The abnormal array is screened out according to mean and maximum values,and the abnormal data in the abnormal array is detected and replaced by the local outlier factor algorithm.Based on the maximum of preprocessed data,and with the minimum sum of squared residuals as objective function,the prediction model of wheel-rail noise for the rail conveyor at different positions is established by using the bald eagle search algorithm to reveal the influence of distance and velocity on the noise.The results show that the fitting degree of the model at the three positions of the head,middle and tail of the rail conveyor is above 0.9.The error between the predicted value and the measured value is less than 0.7 dB(A)and the model fits well.Under the influence of distance and speed,the noise at the head is higher than that at the tail,and the variation trend is basically the same.The noise at the middle is lower than that at the head and tail,and it changes in a quadratic curve with the increase of speed and distance.The research results may provide a theoretical basis for noise control of rail conveyors.
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