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作 者:赵敏 丁宁 元小强 付雪奇 郑振粮 ZHAO Min;DING Ning;YUAN Xiaoqiang;FU Xueqi;ZHENG Zhenliang(Shenzhen Institute of Artificial Intelligence and Robotics for Society,Shenzhen518129,China;Institute of Robot and Intelligent Manufacturing,The Chinese University of Hong Kong(Shenzhen),Shenzhen 518172,China)
机构地区:[1]深圳市人工智能与机器人研究院,深圳518129 [2]香港中文大学(深圳)机器人与智能制造研究院,深圳518172
出 处:《无损检测》2023年第4期17-21,共5页Nondestructive Testing
基 金:国家重点研发计划(2019YFB1310402);广东省基础与应用基础研究基金资助项目(2019A1515111119,2021A1515010926)。
摘 要:提出了一种基于地磁异常成像的钢板缺陷检测方法。首先,采集钢板上人工缺陷标样区域的空间地磁信息,获得地磁场3个方向的分量信息,并最终形成异常地磁图像;然后对地磁不同方向分量的成像图像进行分析处理,实现了钢板的缺陷检测,验证了异常地磁成像方法在钢板缺陷检测中的有效性及可靠性。In this paper,an defect detection method in steel plates was proposed based on abnormal geomagnetic imaging.First of all,the spatial geomagnetic information of the defect specimen area made on the steel plate was collected,the component information of the three directions of the geomagnetic field is obtained,and the abnormal geomagnetic image was finally formed.Through the analysis and processing of the images of different directions of geomagnetism,the defect dectection in steel plate was achieved and the effectiveness and reliability of the abnormal geomagnetic imaging method for the defect detection of steel plate defects were verified.
分 类 号:TG115.28[金属学及工艺—物理冶金]
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