基于卡尔曼滤波的X射线测厚仪噪声处理方法  

X-ray thickness gauge noise processing method based on Kalman filtering

作　　者：颜希成 刘海宁[1] 曾文胜 张洋洋 李发家[1] YAN Xicheng;LIU Haining;ZENG Wensheng;ZHANG Yangyang;LI Fajia(University of Jinan,Jinan 250022,China;China Aerospace Hunan Power Machinery Research Institute,Zhuzhou,Hunan 412007,China;Rizhao Guangya Electromechanical Equipment Co.,Ltd,Rizhao,Shandong 276800,China)

机构地区：[1]济南大学机械工程学院,济南250022 [2]中国航发湖南动力机械研究所,湖南株洲412007 [3]日照广亚机电设备有限公司,山东日照276800

出　　处：《自动化与仪器仪表》2024年第7期27-31,共5页Automation & Instrumentation

基　　金：山东省科技型中小企业创新能力提升工程项目(2021TSGC1354);山东省自然科学基金(ZR2021ME101)项目资助。

摘　　要：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。In practical applications,X-ray thickness gauges are affected by environmental noise,detector noise,and signal amplification 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 algorithm could effectively remove noise in the measurement signal and significantly reduce the measurement error.The maximum measurement 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.

关 键 词：噪声 卡尔曼滤波 X射线测厚仪 测量精度 

分 类 号：TH-39[机械工程]