Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

Micro-damage Identification Method of Metal Plate Based on Wavelet Packet Energy Spectrum

Authors
Mo Li, Guidong Xu
Corresponding Author
Mo Li
Available Online October 2016.
DOI
https://doi.org/10.2991/mmme-16.2016.56How to use a DOI?
Keywords
Dynamic model; Dynamic response signal; Wavelet packet analysis; Energy spectrum
Abstract

In this paper, the dynamic model of the intelligent plate with the pasted piezoelectric material is built. Through the dynamic model, the dynamic response signal is simulated when the damage has slightly changes. The re-sponse signal is decomposed by using wavelet packet analysis and a series of sub signals can be obtained. The energy spectrum can be obtained based on sub signals. By comparing with the full structure energy spectrum, the rate of energy spectrum can be obtained. Through the rate of energy spectrum, the detection of damage degree of the intelligent plate is finally realized.

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 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/mmme-16.2016.56How 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  - Mo Li
AU  - Guidong Xu
PY  - 2016/10
DA  - 2016/10
TI  - Micro-damage Identification Method of Metal Plate Based on Wavelet Packet Energy Spectrum
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 244
EP  - 249
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.56
DO  - https://doi.org/10.2991/mmme-16.2016.56
ID  - Li2016/10
ER  -