Optimal Placement of Sensors for Damage Characterization Using Genetic Algorithms

Abstract:

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Sensor data are the basis for health assessment of complex structural systems. Careful selection and logical layout of sensors is critical to enable the high reliability of system health assessment. This paper presents a methodology how to use a minimum number of sensors, and what locations of them should be placed, so that the voltage signals received from the sensor can be used to detect both presence and extent of damage. In this study, an optimization procedure is developed using Genetic Algorithm (GA) to determine the location of piezoelectric sensor for damage detection in a composite wingbox. A new damage index using all differences in voltage signals decomposed by wavelet transform is proposed. Results show that the proposed method is available at determining number and location of sensors for structural damage detection using piezoelectric patch sensors.

Info:

Periodical:

Key Engineering Materials (Volumes 334-335)

Edited by:

J.K. Kim, D.Z. Wo, L.M. Zhou, H.T. Huang, K.T. Lau and M. Wang

Pages:

1033-1036

DOI:

10.4028/www.scientific.net/KEM.334-335.1033

Citation:

Y. J. Yan et al., "Optimal Placement of Sensors for Damage Characterization Using Genetic Algorithms", Key Engineering Materials, Vols. 334-335, pp. 1033-1036, 2007

Online since:

March 2007

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Price:

$35.00

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