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机构地区:[1]山东大学电气工程学院,山东济南250061 [2]中国联通济南市分公司,山东济南250002
出 处:《山东大学学报(工学版)》2017年第4期83-88,95,共7页Journal of Shandong University(Engineering Science)
摘 要:金属检测广泛应用于食品安全和工业生产中,为克服单一幅度信息无法解决产品效应的问题,提出基于幅度和相位的双通道数字检测算法,建立基于平衡线圈式检测的数学模型,深入分析金属信号的特点。通过坐标定位准确提取出金属信号的幅度和相位信息,产品学习和聚类算法有效地分离金属信号和产品效应信号。试验结果表明:相位信息可有效区分不同材质的金属,配合幅度信息的双通道检测可准确提取金属信号,实现在强产品效应下金属的检测。Metal detector is widely used in food security and industrial manufacture. In order to solve the product effect problem which used only amplitude feature,the dual channel digital detecting algorithm was put forward based on amplitude and phase information,also the balance coil mathematical model was built,and the metal signal feature was deeply analyzed. Through the coordinate orientating,the amplitude and phase information of metal could be exactly extracted,product learning and clustering algorithm could efficiently separate the metal signal and product effect signal.The experiment results showed that the phase information could separate different material metal effectively,cooperated with the amplitude information,the dual channel digital detecting algorithm could extract the metal information accurately and detect the metal with strong product effect.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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