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Study on Signal De-Noising for Multi-Channel Automatic Ultrasonic Testing System

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIP) 바로가기
  • 간행물
    International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
  • 통권
    Vol.9 No.8 (2016.08)바로가기
  • 페이지
    pp.311-318
  • 저자
    Qi Zhang, Li Hou
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A284949

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원문정보

초록

영어
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 the ultrasonic echo signal and the echo signal-to-noise ratio was improved greatly.

목차

Abstract
 1. Introduction
 2. Overall Design of System
  2.1. Working Principle of the System
  2.2. Design of the Hardware
  2.3. Detection System Software Design
 3. Echo Signal Processing
  3.1. Wavelet Transform De-Noising
  3.2. Wavelet Threshold De-Noising
 4. Experiment
 5. Conclusion
 Acknowledgments
 References

키워드

Ultrasonic Testing Thick-walled Testing System Design signal de-noising wavelet

저자

  • Qi Zhang [ School of Manufacturing Science and Engineering,Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, China, School of Machinery and Engineering, Panzhihua University,No.10,Airport Road, Pan zhi hua, China ]
  • Li Hou [ School of Manufacturing Science and Engineering,Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 간기
    격월간
  • pISSN
    2005-4254
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.8

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