Pullin, Rhys ORCID: https://orcid.org/0000-0002-2853-6099, Eaton, Mark Jonathan ORCID: https://orcid.org/0000-0002-7388-6522, Hensman, J. J., Holford, Karen Margaret ORCID: https://orcid.org/0000-0002-3239-4660, Worden, K. and Evans, Samuel Lewin ORCID: https://orcid.org/0000-0003-3664-2569 2008. A principal component analysis of acoustic emission signals from a landing gear component. Presented at: 6th International Conference on Advances in Experimental Mechanics, London, UK, 9-10 September 2008. Published in: Dulieu-Barton, J. M., Dennis Lord, J. and Greene, R. J. eds. Advances in experimental mechanics VI : selected peer reviewed papers from 6th International Conference on Advances in Experimental Mechanics, 9th-11th September 2008, National Physical Laboratory, London, UK. Trans Tech, pp. 41-47. 10.4028/www.scientific.net/AMM.13-14.41 |
Abstract
This work forms part of a larger investigation into fracture detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fracture signals and high levels of background noise. An artificial acoustic emission (AE) fracture source was developed and additionally five sources were used to generate differing AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Further to this, artificial fracture signals were recorded in the same component under airworthiness test load conditions. Principal component analysis (PCA) was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial fracture signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC) |
Publisher: | Trans Tech |
ISBN: | 0878493670 |
Last Modified: | 18 Oct 2022 14:16 |
URI: | https://orca.cardiff.ac.uk/id/eprint/16999 |
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