首页|基于卡尔曼滤波的X射线测厚仪噪声处理方法

基于卡尔曼滤波的X射线测厚仪噪声处理方法

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X射线测厚仪在实际应用中受环境噪声、探测器噪声以及信号放大电路噪声等多重影响,导致初始电压存在较大波动问题.提出了一种基于卡尔曼滤波算法的X射线测厚仪噪声处理方法,采用网格搜索方法确定卡尔曼滤波的最优超参数.实验结果表明,相比传统的均值滤波和中值滤波,卡尔曼滤波算法能有效地去除测量信号中的噪声,显著地降低了测量误差,最大测量误差为0.08%.此方法对于X射线测厚仪的数据处理、提升测量精度以及实际生产中的应用具有重要意义.
X-ray thickness gauge noise processing method based on Kalman filtering
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.

noisekalman filterX-ray thickness gaugemeasurement accuracy

颜希成、刘海宁、曾文胜、张洋洋、李发家

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济南大学机械工程学院,济南 250022

中国航发湖南动力机械研究所,湖南株洲 412007

日照广亚机电设备有限公司,山东日照 276800

噪声 卡尔曼滤波 X射线测厚仪 测量精度

山东省科技型中小企业创新能力提升工程项目山东省自然科学基金

2021TSGC1354ZR2021ME101

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(7)