基于最小凸包的直齿圆柱齿轮检测方法研究

发布时间：2018-01-12 20:35

本文关键词：基于最小凸包的直齿圆柱齿轮检测方法研究　出处：《电子测量与仪器学报》2017年09期 　论文类型：期刊论文

【摘要】：提出了基于齿轮外轮廓最小凸包及凸包缺陷的直齿圆柱齿轮齿数及缺齿识别算法,采用二值图像连通域跟踪提取齿轮外轮廓,然后进行外轮廓最小凸包及凸包缺陷检测,去除伪凸包缺陷后进行齿数检测及缺齿部位识别。根据直齿圆柱齿轮外形特征,提出了基于齿轮外轮廓凸包顶点的齿顶圆检测方法,以及基于齿轮外轮廓凸包缺陷最深点的齿根圆拟合方法,实现了直齿圆柱齿轮的特征圆参数快速测量。实验结果表明,齿数及缺齿识别算法正确率高达98.48%;与现有两种典型方法对比,齿轮特征圆拟合算法可以实现各种情况下齿顶圆和齿根圆的高速高精度定位。
[Abstract]:Based on the minimum convex hull and convex hull defect of the gear profile, an algorithm for identifying the tooth number and missing teeth of the spur gear is proposed. The binary image connected region is used to track and extract the outer profile of the gear. Then, the minimum convex hull and convex hull defect are detected. After removing the pseudo-convex hull defect, the tooth number detection and tooth position identification are carried out. According to the shape characteristics of spur gear. This paper presents a method to detect the tooth top circle based on the convex hull vertex of the outer profile of the gear, and a method to fit the tooth root circle based on the deepest defect point of the convex hull of the outer profile of the gear. The experimental results show that the correct rate of tooth number and tooth missing recognition algorithm is 98.48. Compared with the existing two typical methods, the gear characteristic circle fitting algorithm can achieve high speed and high precision localization of tooth top circle and tooth root circle under various conditions.
【作者单位】：上海大学机电工程与自动化学院;
【基金】：国家自然科学基金(31570998)资助项目
【分类号】：TH132.41;TP391.41
【正文快照】： 0引言齿轮作为机械传动中的重要零部件,其精度将直接影响系统的性能及寿命。除精度不合格外,齿轮产品还可能存在齿崩、缺齿、齿歪和披峰等缺陷。专用的齿轮检测仪设备昂贵,且使用和维修对专业技术要求高,所以大多数企业依旧采用传统机械测量仪器进行人工检测。传统机械测量方

【相似文献】