Data-driven ultrasonic signal analysis using empirical mode decomposition for nondestructive material evaluation

Bichuan Shen; Chi-Hau Chen

doi:10.1117/12.918530

24 May 2012 Data-driven ultrasonic signal analysis using empirical mode decomposition for nondestructive material evaluation

Bichuan Shen, Chi-Hau Chen

Author Affiliations +

Proceedings Volume 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 83902P (2012) https://doi.org/10.1117/12.918530
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Phased array ultrasonic sensing is a well-known non-destructive evaluation approach and a lot of research efforts have been reported. In this paper, we study flaw identification and localization in coarse-grained steel components. To improve the detection effectiveness and performance, advanced ultrasonic signal processing plays a key role. We propose a non-parametric data-driven approach based on ensemble empirical mode decomposition (EEMD), an effective and powerful method to analyze the nonlinear and non-stationary characteristics of ultrasonic signals. In the EEMD approach, white noise is added and it will assist the sifting iterations to converge to the truly intrinsic mode functions (IMF) and cancel out the added noise as long as the iterations are sufficiently large. It is shown that the ultrasonic wavefront harmonics can be effectively represented by multi-mode IMFs, which have the well-defined local time scales and instantaneous frequencies. And the sifting iterations adapt to the varying physical process meaningfully. Numerical experiments are conducted and the presented results validate the effectiveness and advantages of our proposed approach over conventional methods.

Citation Download Citation

Bichuan Shen and Chi-Hau Chen "Data-driven ultrasonic signal analysis using empirical mode decomposition for nondestructive material evaluation", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83902P (24 May 2012); https://doi.org/10.1117/12.918530

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available