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漆包线线径在线自动检测方法研究
引用本文:陈家焱,景利孟,周娟,洪涛.漆包线线径在线自动检测方法研究[J].计量学报,2020,41(2):139-146.
作者姓名:陈家焱  景利孟  周娟  洪涛
作者单位:中国计量大学,浙江 杭州 310018
基金项目:2019年度浙江省基础公益研究计划项目
摘    要:提出一种漆包线线径在线自动检测方法,通过设计基于滑轮组的漆包线减震机构,有效地解决漆包线生产过程中震动幅度过大的问题。首先,对采集到的漆包线原始图像进行中值滤波、固定阈值分割、Sobel边缘检测;然后,进行三次样条插值运算得到亚像素边缘点,采用最小二乘法拟合上下边缘直线;最后,通过分割边缘直线方法计算漆包线线径。现场测试结果表明:应用该方法开发的系统分辨力为0.00018mm,能够满足企业±0.001mm检测精度要求,线径检测结果的测量不确定度为(0.1619±0.0001)mm,置信概率p=0.95,自由度ν=24,重复性检测与第三方检验机构得到的检测结果一致性较好。

关 键 词:计量学  漆包线线经  在线自动检测  机器视觉  减震机构  亚像素  图像算法  
收稿时间:2019-09-16

Research on On-line Automatic Measurement Method of Enameled Wire Diameter
CHEN Jia-yan,JING Li-meng,ZHOU Juan,HONG Tao.Research on On-line Automatic Measurement Method of Enameled Wire Diameter[J].Acta Metrologica Sinica,2020,41(2):139-146.
Authors:CHEN Jia-yan  JING Li-meng  ZHOU Juan  HONG Tao
Affiliation:China Jiliang University, Hangzhou, Zhejiang 310018, China
Abstract:An online automatic detection method of enameled wire diameter is proposed, a kind of enameled wire shock-absorbing mechanism based on pulley block is designed, which can solve the problem that the vibration amplitude is too large and the wire diameter is not easy to be detected in the process of enameled wire production. Firstly, median filtering, fixed threshold segmentation and Sobel edge detection were carried out on the collected enameled wire original image, and then sub-pixel edges were obtained by cubic spline interpolation, and upper and lower edge lines were fitted by least square method, and finally the enameled wire diameter was calculated by the method of segmentation edge line. Field test results show that the resolution of the system developed by this method is 0.00018mm, meeting the requirements of the enterprise detection accuracy ±0.001mm, The detection results are 0.1619±0.0001mm, the confidence probability P=0.95, and the degree of freedom ν=24, the repeatability test is in good consistency with the test results obtained by quality inspection institutions.
Keywords:metrolog  enameled wire diameter  on-line automatic measurement  shock-absorbing mechanism  machine vision  sub pixel  image algorithm  
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