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基于机器视觉的钢制压力容器焊缝缺陷X射线检测方法

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为降低由钢制压力容器焊缝缺陷引起的事故发生概率,提出基于机器视觉的钢制压力容器焊缝缺陷X射线检测方法.使用机器视觉系统以及X射线技术,获取钢制压力容器焊缝图像并提取焊缝区域特征,将焊缝缺陷整合成熔焊、虚焊、焊穿三大类别;基于焊缝区域特征的提取结果,提取钢制压力容器的焊缝缺陷面积、缺陷亮度以及波形等缺陷特征,构建缺陷分类器,实现钢制压力容器焊缝缺陷X射线检测.实验结果表明:钢制压力容器焊缝缺陷检测时,随着待检测焊缝图像的增加,F1 值较高,实际缺陷检测结果的主观判断效果明显,细节检测效果好.
X-ray Detection Method for Weld Defects of Steel Pressure Vessels Based on Machine Vision
An X-ray detection method of weld defects of steel pressure vessels based on machine vision is proposed to reduce the probability of accidents caused by weld defects of steel pressure vessels.Machine vision system and X-ray technology are applied to obtain the weld image of steel pressure vessel and extract the weld area characteristics,and the weld defects are integrated into three categories,fusion welding,false welding and penetration welding.Based on the extraction results of weld area features,the defect features such as weld defect area,defect brightness and waveform of steel pressure vessels are extracted,and the defect classifier is constructed to realize the X-ray detection of weld defects of steel pressure vessels.The experimental results show that when detecting the weld defects of steel pressure vessels,with the increase of the weld images to be detected,the F1 value is higher,the subjective judgment effect of the actual defect detection results is obvious,and the detail detection effect is favourable.

machine visionX-raysteel pressure vesselweld defectdetection method

宋伟斌、赵建政

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烟台市特种设备检验研究院,山东 烟台 265508

机器视觉 X射线 钢制压力容器 焊缝缺陷 检测方法

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(5)