Earticle

초록

영어

In ultrasonic nondestructive testing, the presence of noise makes great trouble for defect recognition, so it is very necessary to reduce noise in collected ultrasonic signal. In this paper a de-noising algorithm of ultrasonic echo signal based on wavelet transform and Independent Component Analysis (ICA) was presented. First, wavelet transform was used to decompose original noisy signal, and then ICA was applied to decomposed detail coefficients, separated independent components were evaluated by threshold, noise was filtered, and finally, de-noised ultrasonic signal was obtained by wavelet reconstruction. Simulation and experimental results showed that the proposed algorithm can improve signal-to-noise ratio, meanwhile, overcome some other de-noising algorithms’ shortcoming of losing useful information in de-noising, the performance is superior to wavelet threshold de-noising algorithm.

목차

Abstract
 1. Introduction
 2. Theory Background
  2.1. DWT Method
  2.2. ICA Method
 3. WICAW De-noising Method
 4. Research of De-Noising Experiment
  4.1. De-noising of Simulated Ultrasonic Signal
  4.2. De-noising of Ultrasonic Signal with Typical Artificial Defects
 5. Conclusion
 References

키워드

저자

• Feng Zhihong [ Engineering teaching practice and training center, Tianjin Polytechnic University, Tianjin, China ]
• Miao Changyun [ School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China ]
• Bai hua [ School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605