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基于小波包的奥氏体焊缝缺陷超声信号识别

迟大钊, 麦成乐, 孙昌立, 刚铁

迟大钊, 麦成乐, 孙昌立, 刚铁. 基于小波包的奥氏体焊缝缺陷超声信号识别[J]. 焊接学报, 2015, 36(12): 43-46.
引用本文: 迟大钊, 麦成乐, 孙昌立, 刚铁. 基于小波包的奥氏体焊缝缺陷超声信号识别[J]. 焊接学报, 2015, 36(12): 43-46.
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CHI Dazhao, MAI Chengle, SUN Changli, GANG Tie. Wavelet package based ultrasonic defect detection method for testing austenitic stainless steel weldment[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(12): 43-46.
Citation: CHI Dazhao, MAI Chengle, SUN Changli, GANG Tie. Wavelet package based ultrasonic defect detection method for testing austenitic stainless steel weldment[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(12): 43-46.
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基于小波包的奥氏体焊缝缺陷超声信号识别

  • 哈尔滨工业大学 先进焊接与连接国家重点实验室, 哈尔滨 150001

基金项目: 国家自然科学基金资助项目(51375002,51005056);黑龙江省博士后科研启动基金资助项目(LBH-Q13079)

Wavelet package based ultrasonic defect detection method for testing austenitic stainless steel weldment

  • State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China

摘要

    摘要
  • 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.
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    • 参考文献(6)
  • [1] Martinez-Ona R, Garcia A, Perez M C, et al. Ultrasonic inspections in the fabrication of the ITER vacuum vessel sectors[J]. Fusion Engineering and Design, 2013, 88(9-10): 2155-2159.
    [2] 徐 峰, 徐锦锋, 翟秋亚. 奥氏体不锈钢储能焊接头组织形成规律[J]. 焊接学报, 2009, 30(12): 101-104. Xu Feng, Xu Jinfeng, Zhai Qiuya. Microstructural formation of austenitic stainless steel joint by capacitor discharge welding[J]. Transactions of the China Welding Institution, 2009, 30(12): 101-104.
    [3] 陈 斌, 杨 平, 施克仁. Hilbert-Huang变换在非线性超声无损检测中的应用[J]. 清华大学学报(自然科学版), 2006, 46(8): 1369-1372. Chen Bin, Yang Ping, Shi Keren. Application of Hilbert-Huang transforms for nonlinear ultrasonic nondestructive testing[J]. Journal of Tsinghua University of Science and Technology, 2006, 46(8): 1369-1372.
    [4] Praveen A, Vijayarekha K, Abraham S T, et al. Signal quality enhancement using higher order wavelets for ultrasonic TOFD signals from austenitic stainless steel welds[J]. Ultrasonics, 2013, 53(7): 1288-1292.
    [5] 王柄方, 韩赞东, 原可义, 等. 基于时频分析的奥氏体焊缝超声检测信号处理[J]. 焊接学报, 2011, 32(5): 25-28. Wang Bingfang, Han Zandong, Yuan Keyi, et al. Signal processing in ultrasonic test of austenitic welds based on time-frequency analysis[J]. Transactions of the China Welding Institution, 2011, 32(5): 25-28.
    [6] 迟大钊, 刚 铁. 一种基于WMM的噪声抑制新方法[J]. 焊接学报, 2011, 32(8): 9-12. Chi Dazhao, Gang Tie. A novel WMM based de-noising method for ultrasonic tested signal[J]. Transactions of the China Welding Institution, 2011, 32(8): 9-12.
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出版历程
  • 收稿日期:  2015-06-03

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