Some Recent Developments in Structural Health Monitoring

Abstract:

This paper is concerned with reporting some recent developments in Structural Health Monitoring (SHM) research conducted within the Dynamics Research Group at the University of Sheffield. The particular developments discussed are concerned with arguably the two main problems facing data-based approaches to SHM, namely: how to obtain data from damage states of a structure for supervised learning and how to remove environmental and operational effects from data when unsupervised learning (novelty detection) is indicated.

• Periodical: Key Engineering Materials (Volume 518)
• Pages: 298-318
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.518.298
• Online since: July 2012
• Authors: R.J. Barthorpe, E.J. Cross, E. Papatheou, Keith Worden
• Keywords: Added Masses as Damage Proxies, Environmental Trends, Multi-Site Damage Classification, Operational Trends, Structural Health Monitoring (SHM)

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