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  • 标题:Study on Signal De-Noising for Multi-Channel Automatic Ultrasonic Testing System
  • 本地全文:下载
  • 作者:Qi Zhang ; Li Hou
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:8
  • 页码:311-318
  • 出版社:SERSC
  • 摘要:To ensure the quality of thick-walled seamless steel pipe, the defects in thick-walled seamless steel pipe should be detect. This paper has developed PC-based microcomputer water immersion, digital multi-channel automatic ultrasonic testing system based on the principle of ultrasonic flaw detection of thick-walled seamless steel pipe. The hardware and software of this detection system were designed. To improve detection efficiency and accuracy, all sorts of effective anti-interference measures were proposed. They could effectively remove interference signals in ultrasonic echo signal by analyzing interference source and dissemination way of automatic ultrasonic flaw detection system for small-diameter steel pipe with thick wall. An improved wavelet threshold was proposed to remove mixed noise in the echo signal to improve the echo signal-to-noise ratio at the same time. Experimental results show that the ultrasonic flaw detection system can achieve defect detection of the Small-Diameter Steel Pipe with Thick Wall, the wavelet threshold de-noising method can effectively remove mixed noise in t he ultrasonic echo signal and the echo signal-to-noise ratio was improved greatly.
  • 关键词:Ultrasonic Testing; Thick-walled Testing; System Design; signal de-noising; ;wavelet
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