基于小波包的奥氏体焊缝缺陷超声信号识别
Wavelet package based ultrasonic defect detection method for testing austenitic stainless steel weldment
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摘要: 在使用超声反射波法对奥氏体不锈钢焊缝进行缺陷检测时,由于粗大晶粒组织的声散射作用,致使缺陷信号不易于识别. 针对这一问题,提出一种基于小波包技术的改进噪声抑制方法. 阐明了改进方法的技术原理,采集了奥氏体不锈钢焊缝中含人工缺陷信号的超声回波数据. 利用所提方法对超声回波进行了噪声抑制处理,并对人工缺陷进行了定量化测量. 结果表明,和传统小波包法相比较,所提方法能更为有效地滤除超声反射回波中的噪声成分,可识别直径1.5 mm的平底孔.Abstract: Because of the acoustic scattering from the coarse grain structure, it is not easy to identify defect wave when ultrasonic pulse echo method is applied in testing austenitic stainless steel weldment.In this paper, an improved de-noising method based on Wavelet packet is proposed. The principle of the improved technique is described. The ultrasonic echo containing the artificial defect wave in the austenitic stainless steel weldment is collected. Using the proposed method, the ultrasonic echo is de-noising processed. Then the artificial defects are quantitative measured. The results show that using the method, the noise component in the ultrasonic echo can be effectively suppressed, and the flat bottom hole of 1.5mm in diameter can be identified.