基于神经网络的压力容器焊缝磁性无损检测的研究  

Study of nondestructive magnetic inspection of pressure vessel welding seam on neural network

作　　者：黄卫平[1] 鲍卫宁[1] 

机构地区：[1]江汉大学机电与建工学院,湖北武汉430056

出　　处：《制造业自动化》2007年第8期51-53,65,共4页Manufacturing Automation

摘　　要：研究了压力容器焊缝磁性无损检测系统。结合压力容器检测的具体要求,设计了检测装置,探讨神经网络的方法在压力容器焊缝缺陷的特征识别应用。应用表明基于神经网络的压力容器焊缝磁性无损检测技术具有重要的应用前景。The welding seam of pressure vessel nondestructive system is studied according the principle of electromagnetic testing in this paper. With the specific criterion for pressure vessel, the inspecting device is designed. Neural Network is applied to get the characters of flaws of the pressure vessel seam. The applied experience shows that this technique has great future.

关 键 词：压力容器 焊缝 磁性检测 神经网络 

分 类 号：TQ051[化学工程]