A fast damage locating approach using digital damage fingerprints extracted from Lamb wave signals

Smart Materials and Structures

Volumn 14, Issue 5, 2005, Pages 1047-1054

  Su, Zhongqing ^a   Ye, Lin ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COST EFFECTIVENESS; DATA REDUCTION; DATABASE SYSTEMS; DELAMINATION; FEEDFORWARD NEURAL NETWORKS; ONLINE SYSTEMS;

DAMAGE LOCATION; DAMAGE PARAMETER DATABASE (DPD); DAMAGE PARAMETERS; MULTILAYER FEEDFORWARD ARTIFICIAL NEURAL NETWORKS;

LAMINATED COMPOSITES;

EID: 25144519674     PISSN: 09641726     EISSN: None     Source Type: Journal    
DOI: 10.1088/0964-1726/14/5/043     Document Type: Conference Paper

References (17)

1. Su Z and Ye L 2003 Lamb wave propagation-based damage identification for quasi-isotropic CF/EP composite laminates using artificial neural algorithm, part I: methodology and database development J. Intell. Mater. Syst. Struct. 16 97-111
2. Konar A 2000 Artificial Intelligence and Soft Computing: Behavioural and Cognitive Modeling of the Human Brain (Boca Raton, FL: CRC Press LLC)
3. Tsou P and Shen M H H 1994 Structural damage detection and identification using neural networks AIAA J. 32 176-83
4. Yun C B and Bahng E Y 2000 Substructural identification using neural networks Comput. Struct. 77 41-52
5. Chaudhry Z and Ganino A J 1994 Damage detection using neural networks: an initial experimental study on debonded beams J. Intell. Mater. Syst. Struct. 5 585-9
6. Yoshimura S, Yagawa G, Oishi A and Yamada K 1998 Neural network based inverse analysis for defect identification with laser ultrasonics Key Eng. Mater. 145-149 443-52
7. Wu X, Ghaboussi J and Garrett J H Jr 1992 Use of neural networks in detection of structural damage Comput. Struct. 42 649-59
8. Liang Y C and Hwu C B 2001 On-line identification of holes/cracks in composite structures Smart Mater. Struct. 10 599-609
9. Lopes V Jr, Park G, Cudney H H and Inman D J 1999 Smart structures health monitoring using artificial neural network Structural Health Monitoring 2nd edn ed F-K Chang (Lancaster: Technomic) pp 976-85
10. Su Z and Ye L 2003 Artificial neural algorithm-based damage assessment for laminated composite structures using distributed actuators/sensors 5th Int. Symp. on Advanced Composites (Corfu, Greece, May 2003)
11. Su Z, Ye L and Bu X 2002 A damage identification technique for CF/EP composite laminates using distributed piezoelectric transducers Compos. Struct. 57 465-71
12. Su Z and Ye L 2004 Lamb wave-based identification technique for delamination in composite laminates using artificial neural algorithm Compos. Struct. 66 627-37
13. Su Z and Ye L 2004 An intelligent signal processing and patterns recognition technique for defect identification using active sensor network Smart Mater. Struct. 13 957-69
14. Huang N, Ye L and Su Z 2004 Parameterised modelling technique and its application in structural health monitoring Proc. 4th Asian-Australasian Conf. on Composite Materials (Sydney, Australia, July 2004)
15. The Mathworks, Inc. 2000 Neural Network Toolbox (User's Guide), Ver: 4.0
16. Anderson J A 1995 An Introduction to Neural Networks (Cambridge, MA: MIT Press)
17. Fausett L 1994 Fundamentals of Neural Networks, Architectures, Algorithms and Applications (Englewood Cliffs, NJ: Prentice-Hall)