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Proceedings Paper

Converting signals to knowledge in structural health monitoring systems
Author(s): James M. W. Brownjohn; Pilate Moyo; Piotr Omenzetter; Sushanta Chakraboorty
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Paper Abstract

Academic approaches in structural health monitoring (SHM) usually focus on fine detail or on aspects of the technology such as sensors and data collection, and areas that may be less useful to operators than information about the level of performance of their structures. The steps in the process of SHM such as data management, data mining, conversion to knowledge of structural behaviour and integrity are frequently absent, and even the most operationally successful SHM systems may lack the component where deep understanding on the nature of the structure performance is obtained. This paper presents experience gained in a number of SHM exercises where static and dynamic response data have been interpreted, with or without the aid of calibrated structural models, in order to characterise the mechanisms at work and the experiences of the structure.

Paper Details

Date Published: 12 April 2005
PDF: 8 pages
Proc. SPIE 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, (12 April 2005); doi: 10.1117/12.621225
Show Author Affiliations
James M. W. Brownjohn, Univ. of Plymouth (United Kingdom)
Pilate Moyo, Univ. of Cape Town (South Africa)
Piotr Omenzetter, Univ. of Auckland (New Zealand)
Sushanta Chakraboorty, Birla Institute of Science and Technology (India)


Published in SPIE Proceedings Vol. 5852:
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics
Chenggen Quan; Fook Siong Chau; Anand Asundi; Brian Stephen Wong; Chwee Teck Lim, Editor(s)

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