In practical applications,X-ray thickness gauges are affected by environmental noise,detector noise,and signal am-plification circuit noise,etc.,resulting in large fluctuations in the initial voltage.a noise processing method is proposed for X-ray thickness gauges based on the Kalman filter algorithm,using a grid search method to determine the optimal hyperparameters of the Kalman filter.Experimental results showed that compared with traditional mean filtering and median filtering,the Kalman filter algo-rithm could effectively remove noise in the measurement signal and significantly reduce the measurement error.The maximum meas-urement error is 0.08％.This method is of great significance for data processing of X-ray thickness gauges,improving measurement accuracy,and application in actual production.
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