Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Application of Improved Empirical Mode Decomposition in Defect Detection Using Vibro-Ultrasonic Modulation Excitation-Fiber Bragg Grating Sensing

Authors
Xiao Huang, Yuegang Tan, Li Cai
Corresponding Author
Xiao Huang
Available Online November 2016.
DOI
10.2991/icmia-16.2016.124How to use a DOI?
Keywords
Empirical mode decomposition, vibro-ultrasonic modulation, fiber Bragg grating
Abstract

The advantage of nonlinear ultrasonic method in micro defect detection has been widely recognized. It has higher sensitivity than linear ultrasonic. Vibro-ultrasonic modulation(VUM) method was adopted in the paper, and fiber Bragg grating(FBG) was used to sense nonlinear signal instead of piezoelectric patches innovatively because it is very easy for FBG to realize distributed measurement. Empirical mode decomposition(EMD) algorithm was improved and applied in the analysis of nonlinear signal. The results shows sidebands signal can be extracted successfully by the improved EMD algorithm.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.124How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao Huang
AU  - Yuegang Tan
AU  - Li Cai
PY  - 2016/11
DA  - 2016/11
TI  - Application of Improved Empirical Mode Decomposition in Defect Detection Using Vibro-Ultrasonic Modulation Excitation-Fiber Bragg Grating Sensing
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.124
DO  - 10.2991/icmia-16.2016.124
ID  - Huang2016/11
ER  -