金属材料超声探伤缺陷分类辅助系统的研究  

The Aid Classification System for Metal Material Flaws in Ultrasonic Testing

作　　者：弓乐[1] 曹康[1] 吴淼[1] 

机构地区：[1]中国矿业大学北京机电与信息工程学院,北京100083

出　　处：《仪器仪表学报》2005年第10期1085-1088,共4页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(59975085)资助项目

摘　　要：针对在目前工业生产的超声检测中缺陷难以定性的问题,在现有缺陷信号处理和人工神经网络分类研究工作的基础上,基于虚拟仪器的设计思想及功能模块化的设计方法,采用PC机和数据采集卡作为硬件系统,在L abV IEW平台上建立了能对缺陷进行智能识别的系统——金属材料超声探伤缺陷分类辅助系统。系统具有采集金属材料中缺陷回波数据、降噪、特征提取和智能识别缺陷等主要功能。实验结果表明,该系统基本上能自动识别出各类缺陷。According to flaws are difficult to accurately distinguish during ultrasonic testing, the aid classification system for metal material flaws in ultrasonic testing is build, based on signal analysis and intelligence classification theory and methods which have already been studied in the field for years. The hardware of the system is supported by computer and data acquistion card. The software of the system is designed in terms of virtual instrument technology. Its functions are sampling, de-noising, extracting feature and recognizing of the flaw. The research demonstrates the system can basically distinguish from different flaws.

关 键 词：超声检测 缺陷分类 虚拟仪器 LABVIEW 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]