Transactions of Materials and Heat Treatment

Title：Roll surface damage detection system based on image recognition

Authors：

Unit：

KeyWords： rolling mill roll damage detection system image recognition health diagnosis

ClassificationCode：TP271

year,vol(issue):pagenumber：2021,46(6):225-230

Abstract：

The roll is an important component of rolling mill, and the quality of roll directly affects the quality of the products formed by rolling mill. Therefore, the roll surface damage detection system based on image recognition was studied by using high-definition camera to collect roll image, using filter denoising algorithm to remove the interference factors in the image, using image segmentation technology to segment the image in order to improve the efficiency of image recognition, using template matching method to identify the damage, using Laplace method to sharpen the image so that the edge of the damaged area for roll was clearer and easier to be displayed, and combining with the collected image features to form the expert diagnosis database. Furthermore, for the newly collected image to be identified, the damage type was automatically identified by comparing with the data of expert database. The experimental results show that the detection system has good detection effect for three types of roll damage such as corrosion, scratch or crack and spalling.

Funds：

国家自然科学基金资助项目（61525108）

作者简介：杨晋玲（1992-），女，硕士研究生 E-mail：yjl9212@126.com 通信作者：段牧忻（1969-），女，本科，高级工程师 E-mail：dwwqqq2021@126.com

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