Surface Defect Detection Based on Capacitive Probe for Bearing Ball
作者单位:School of Mechanical Engineering University of Jinan
会议名称:《第25届中国控制与决策会议》
主办单位:IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期:2013年
学科分类:08[工学] 080203[工学-机械设计及理论] 080502[工学-材料学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金:supported by Project of Department of Education in Shandong Province (J12LB04) Graduate Student Education Innovation Project of Shandong Province (SDYY12) Project of Department of Education in Shandong Province (J10LD22)
关 键 词:Bearing Ball Surface Defects Capacitance Probe Sensor Average Effect Threshold Value Analysis
摘 要:According to the characteristics of the bearing ball surface defects, the capacitance probe detection system was adopted for measuring. Due to the sensitive measurement area of capacitance sensor is certain sizes of equivalent plane, the average effect eliminates the influence of microcosmic geometric feature. According to the standard of the ball bearing parameter changes, we put forward a dynamic threshold algorithm for defect detection. The algorithm combined the whole characteristic value with local one, by using differences between the normal surface measurements and defective surface detection to find defect. And to φ18.2562mm stainless steel bearing ball as an example, the normalization processing was done for data measured along the meridian, through the data distribution of probability density function, it intuitively shows the measurement value distribution characteristics of qualified bearing ball and defective one, so we can do effective separation for normal data and defect data.