Abstract
The identification of multiple-site damage is a challenging problem in data-based structural health monitoring (SHM). It is generally accepted that higher level damage identification via statistical pattern recognition requires the adoption of a supervised learning approach, with the need for data to be gathered from the structure in all damaged states of interest. The number of states for which data would be required to cover all damage combinations grows exponentially with the number of locations at which damage may occur. Damage state data sets of this extent are unlikely to be available in practical applications. The objective of this paper is to explore an interesting approach to the problem of multiple-site damage location. It is postulated that if sufficient information can be gleaned from single-site damage data to allow identification of multiplesite damage, then the requirement to gather data for all combinations of damage location may be circumvented. In the present study this possibility is assessed using data from an experimental structure. The experimental structure used is a full-scale, laboratory-based aircraft wing section. Damage sensitive features identified using single-site data are shown to perform well when applied to the multiple-site location problem.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Rytter A. Vibration Based Inspection of Civil Engineering Structures [PhD Dissertation]: Aalborg University, Denmark; 1993.
Ruotolo R, Surace C. Damage assessment of multiple cracked beams: Numerical results and experimental validation. Journal of Sound and Vibration. 1997;206(4):567-88.
Lin R-J, Cheng F-P. Multiple crack identification of a free-free beam with uniform material property variation and varied noised frequency. Engineering Structures. 2008;30(4):909-29.
Contursi T, Messina A, Williams EJ. A multiple-damage location assurance criterion based on natural frequency changes. Journal of Vibration and Control. 1998;4(5):619-33.
Worden K, Manson G, Fieller NRJ. Damage detection using outlier analysis. Journal of Sound and Vibration. 2000 Jan;229(3):647-67.
Worden K, Manson G, Allman D. Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure. Journal of Sound and Vibration. 2003 Jan;259(2):323-43.
Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters. 2006;27(8):861-74.
Hanley JA, McNeil BJ. The Meaning and Use of the Area under a Receiver Operating Characteristic (Roc) Curve. Radiology. 1982;143(1):29-36.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this paper
Cite this paper
Barthorpe, R.J., Worden, K. (2011). Multiple-site Damage Location Using Single-site Training Data. In: Proulx, T. (eds) Advanced Aerospace Applications, Volume 1. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9302-1_17
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9302-1_17
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9301-4
Online ISBN: 978-1-4419-9302-1
eBook Packages: EngineeringEngineering (R0)