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Abstract
This paper describes the formulation of a maximumlikelihood estimate of damage location for guidedwave structural health monitoring (GWSHM) using a minimally informed, Rayleighbased statistical model of scattered wave measurements. Also introduced are two statisticsbased methods for evaluating localization performance: the localization probability density function estimate and the localizer operating characteristic curve. Using an ensemble of measurements from an instrumented plate with stiffening stringers, the statistical performance of the socalled Rayleigh maximumlikelihood estimate (RMLE) is compared with that of seven previously reported localization methods. The RMLE proves superior in all test cases, and is particularly effective in localizing damage using very sparse arrays consisting of as few as three transducers. The probabilistic basis used for modelling the complicated wave scattering behaviour makes the algorithm especially suited for localizing damage in complicated structures, with the potential for improved performance with increasing structure complexity.
Original language  English 

Pages (fromto)  25752596 
Number of pages  22 
Journal  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 
Volume  467 
Issue number  2133 
DOIs  
Publication status  Published  8 Sept 2011 
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Dive into the research topics of 'Maximumlikelihood estimation of damage location in guidedwave structural health monitoring'. Together they form a unique fingerprint.Projects
 1 Finished

EFFICIENT STRUCTURAL HEALTH MONITORING USING SPARSE DISTRIBUTED SENSOR ARRAYS
1/01/06 → 1/07/09
Project: Research