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논문검색

Using Generalized Weighted Minimum Entropy Deconvolution Algorithm to Improve The Resolution of Ultrasonic Guided Wave Testing

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

저자정보

  • 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
  • Hongjuan Yan Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing, China

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