Earticle

초록

영어

Ultrasonic guided wave detection technology has numerous advantages compared with body waves. Accurately obtaining the time-of-arrival (TOA) or time-of-flight (TOF) of the ultrasonic guided wave signal is critical for the detection and location of defect because of the frequent use of the low frequency guided wave probe in testing. Thus, guaranteeing the propagation over a long distance and increasing the resolution of defect detection become the key points. This study adds the weighted nonlinear transformation functions to the minimum entropy deconvolution (MED). By adjusting the corresponding parameters, it can enhance a weak signal of small defects and suppress the noise signal. The experimental results indicate that this method can accurately obtain TOA to enhance the resolution of defect detection and can improve the speed of convergence effectively compared with MED.

목차

Abstract
 1. Introduction
 2. Ultrasonic Guided Wave Signal Convolution Model
 3. Minimum Entropy Deconvolution Principle
 4. Generalized Weighted Minimum Entropy Deconvolution
 5. Experimental Results and Discussion
 6. Conclusion
 References

키워드

저자

• Haichao Cai [ Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing, China / School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China ]
• Chunguang Xu [ Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing, China ]
• Qinxue Pan [ Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing, China ] Corresponding Author
• Hongjuan Yan [ Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605