转子铜排鱼尾槽尺寸的视觉检测评定算法

李尚君; 吴龙; 叶松涛; 严思杰

doi:10.13433/j.cnki.1003-8728.2017.0801

转子铜排鱼尾槽尺寸的视觉检测评定算法

doi: 10.13433/j.cnki.1003-8728.2017.0801

李尚君¹,
吴龙¹,
叶松涛²,
严思杰^1,2, ,

1.
华中科技大学数字制造装备与技术国家重点实验室, 武汉 430074;
2.
华中科技大学无锡研究院, 江苏无锡 214174

基金项目:

江苏省重点研发计划项目（BE2015005-1）与国家自然科学基金项目（51375196）资助

详细信息

作者简介:
李尚君(1991-),硕士研究生,研究方向为机械电子工程,shangjunlee@hust.edu.cn

通讯作者:
严思杰(联系要),教授,博士,sjyan@hust.edu.cn

计量
- 文章访问数: 337
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- 被引次数: 0
出版历程
- 收稿日期: 2016-05-19
- 刊出日期: 2017-08-05

Machine Vision Measurement Algorithm for Turbo Generator's Coil Strip

Li Shangjun¹,
Wu Long¹,
Ye Songtao²,
Yan Sijie^{1,2
, ,}

1.
The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
2.
HUST-Wuxi Research Institute, Huazhong University of Science and Technology, Jiangsu Wuxi 214174, China

摘要

摘要: 汽轮发电机转子铜排完成鱼尾槽铣削后需要进行严格的检测。由于传统的人工检测方法不可避免地带来错检或漏检，导致检测正确率（检正率）低下，本文中采用机器视觉系统对转子铜排两端鱼尾槽进行尺寸检测。首先，利用基于拉普拉斯变换改进的Otsu阈值分割方法，实现了目标边缘轮廓的精确定位；其次，结合使用移动最小二乘法（MLS）实现了亚像素轮廓的提取；最后，使用鱼尾槽样件对上述提出的算法进行了检测验证。实验结果表明，本文提出的方法可以满足铜排鱼尾槽在线检测要求，与传统方法相比，检测重复测量精度更高，重复测量精度平均提高50%以上。
- 铜排鱼尾槽 /
- 机器视觉 /
- 拉普拉斯变换 /
- 移动最小二乘法 /
- 亚像素
Abstract: A turbo generator's coil strip slot needs to be strictly tested after its milling. While the traditional manual detection can cause missing and false detection, the correct detection rate is low. This paper presents a machine vision measurement algorithm. Firstly, by using the improved Otsu threshold segmentation method based on the Laplace transformation, the algorithm obtains the precise location of edges. Secondly, subpixel edges are obtained with the moving least square (MLS). Finally, experiments on sample coil strip slot test and verify the algorithm. The experimental results indicate that the algorithm proposed in this paper can fulfill coil strip slot online detection needs and acquire a higher accuracy of repeated measurement than the traditional methods, with the repeated measurement accuracy increasing by more than 50%.
- coil strip slot /
- machine vision /
- laplace transformation /
- moving least square(MLS) /
- subpixel

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参考文献(15)

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