基于线性加权灰度化的天线座齿轮齿面啮合质量评估研究  

Evaluation of Meshing Quality of Antenna Base Gear Tooth Surfaces Based on the Linear Weighted Gray-scale

作　　者：张柳 邱保安 孙攀 李林[2,3] 王利明[2,3] 邵毅敏[2,3] Zhang Liu;Qiu Bao'an;Sun Pan;Li Lin;Wang Liming;Shao Yimin(14th Research Institute of China Electronics Technology Group Corporation,Nanjing 210012,China;State Key Laboratory of Mechanical Transmission for Advanced Equipment,Chongqing University,Chongqing 400044,China;College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]南京电子技术研究所,江苏南京210012 [2]重庆大学高端装备机械传动全国重点实验室,重庆400044 [3]重庆大学机械与运载工程学院,重庆400044

出　　处：《机械传动》2024年第12期15-22,共8页Journal of Mechanical Transmission

基　　金：国家重点研发计划项目(2021YFB2011400);重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX1243)。

摘　　要：为评估天线座齿轮齿面啮合质量,提出了一种基于图像线性加权灰度化的啮合质量评估方法。首先,通过CCD相机采集齿轮啮合区域接触印痕原始图像;随后,搭建了一套图像实时处理系统,针对传统自适应权重在不同光照环境下灰度化的边缘模糊问题,提出了图像线性加权灰度化预处理方法,以实现目标色彩分量增强;进而,经过图像分割、数学形态学特征提取等步骤,得到了反映天线座齿轮啮合质量的相关参数,包括:齿面接触印痕区域大小、形状以及在齿面上的位置;最后,形成了一套齿轮啮合质量数字化测量与评估方法,可实现天线座齿轮啮合质量的准确评价。试验结果表明,线性加权灰度化方法在不同环境亮度下适应性更强;同时,特征提取结果较其他方法误差更小。In order to evaluate the meshing quality of antenna base gears,a method based on the image linear weighted gray-scale was proposed.In this method,the original image of the contact marks in the gear meshing area was collected by CCD cameras.Then,a set of real-time image processing system was built.Aiming at the edge blur problem of traditional adaptive weights graying in different lighting environments,a linear weighted gray-scale image preprocessing method was proposed to enhance target color component.Through the steps of image segmentation and mathematical morphology feature extraction,the relevant parameters reflecting the meshing quality of the antenna base gear were obtained,including the size,shape and position of the contact impression area on the tooth surface.Finally,a set of digital measurement and evaluation method of gear meshing quality was developed to achieve the accurate evaluation of the gear meshing quality of the antenna base.The test results show that the linear weighted gray-scale method has better adaptability under different ambient brightness,and the error of feature extraction results is smaller than other methods.

关 键 词：齿轮啮合 灰度化 图像分割 啮合质量评估 

分 类 号：TH132.41[机械工程—机械制造及自动化] TN820.82[电子电信—信息与通信工程]