This paper is concerned with the compression or dimensional reduction of a number of acoustic emission (AE) signals generated by damage to a structure, namely, a box girder from a bridge. The object of the exercise is to visualise the data and thereby associate clusters tothe measured AE bursts. These can be used tohelp interpret the signals. Two methods are used to reduce the dimension: principal component analysis and Sammon mapping.
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References
1.
1. Bishop, C.M. (1994). Novelty detection and neural network validation. IEE Procedings – Vision and Image Signal Processing, 141: 217–222.
2.
2. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996). Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratories Report LA-13070-MS.
3.
3. Yan, T. and Holford, K.M.Acoustic emission analysis using pattern recognition technique. Preprint, Department of Mechanical Engineering, University of Wales, Cardiff.
4.
4. Holford, K.M., Yan, T.Y. and Carter, D.C.A self-organisation method for classification of acoustic emission signals. Preprint, Department of Mechanical Engineering, University of Wales, Cardiff.
5.
5. British Standards Institution, (1996). Definition of Terms in Acoustic Emission, Non-Destructive Testing – Terminology Part 9: Draft European Standard. prEN 1330–1339.
6.
6. Sharma, S. (1996). Applied Multivariate Techniques. John Wiley & Sons.
7.
7. Sammon, J.W. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18: 401–409.
8.
8. Lowe, D. and Tipping, M. (1996). Feed-forward neural networks and topographic mapping for exploratory data analysis. Neural Computing and Applications, 4: 83–95.
9.
9. Manson, C., Worden, K., Martin, A. and Tunnicliffe, D.L. (1999). Visualisation and dimension reduction of acoustic emission data for damage detection. In: Proceedings of the International Conference on Damage Assessment of Structure, Dublin.
