Detecting and Identifying Artificial Acoustic Emission Signals in an Industrial Fatigue Environment

Hensman, JL, Pullin, Rhys ORCID: https://orcid.org/0000-0002-2853-6099, Eaton, Mark Jonathan ORCID: https://orcid.org/0000-0002-7388-6522, Worden, K, Holford, Karen Margaret ORCID: https://orcid.org/0000-0002-3239-4660 and Evans, Samuel Lewin ORCID: https://orcid.org/0000-0003-3664-2569 2008. Detecting and Identifying Artificial Acoustic Emission Signals in an Industrial Fatigue Environment. Applied Mechanics and Materials: Advances in Experimental Mechanics VI 13-14 , pp. 251-260. 10.4028/www.scientific.net/AMM.13-14.251

Full text not available from this repository.

Item Type:	Article
Schools:	Schools > Engineering Research Institutes & Centres > Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Last Modified:	17 Oct 2022 09:44
URI:	https://orca.cardiff.ac.uk/id/eprint/5426

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item