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Proceedings Paper

Autofocus for sparse array imaging
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Paper Abstract

If sparse arrays are attached to structures for the purposes of structural health monitoring it is likely that there will be variation in the placement of the sensors, resulting in deviation from the assumed locations. In addition, poor knowledge of the material through which the signals are propagating can result in the use of incorrect velocities, or failing to take account of delays inherent in the equipment. These deviations will result in reduced performance in terms of defect detectability and characterisation. This paper outlines an autofocus approach whereby the transducer locations and material properties can be estimated from the experimental data to ensure the highest levels of defect detectability. The approach is validated using both models and a more complex real world structure. The performance of the approach is considered across a range of potential operating conditions to demonstrate its robustness. Finally limitations and potential solutions to these are addressed.

Paper Details

Date Published: 9 April 2010
PDF: 10 pages
Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 765036 (9 April 2010); doi: 10.1117/12.847234
Show Author Affiliations
Anthony J. Croxford, Univ. of Bristol (United Kingdom)
Alan J. Hunter, Univ. of Bristol (United Kingdom)

Published in SPIE Proceedings Vol. 7650:
Health Monitoring of Structural and Biological Systems 2010
Tribikram Kundu, Editor(s)

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