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Optimal sensors layout design based on reference‐free damage localization with lamb wave propagation
Author(s) -
Motamed Pouyan Keshavarz,
Abedian Ali,
Nasiri Mostafa
Publication year - 2020
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2490
Subject(s) - interpolation (computer graphics) , wavelet , computer science , position (finance) , wavelet transform , structural health monitoring , finite element method , algorithm , path (computing) , structural engineering , acoustics , computer vision , engineering , image (mathematics) , physics , finance , economics , programming language
Summary This study presents a new approach for designing optimal sensors layout based on accuracy of defect mapping. It is obtained from combination of the reference‐free damage detection technique and the probability‐based diagnostic imaging method. Considering damage indices based on continuous wavelet transform of sensors signals, the core of this study involves with development of a database of continuous wavelet transform features of a crack. In fact, the database contains the data from 594 different states in crack positions, orientations, and the considered sensing path lengths. Eventually, this database is used for localization of damage by interpolating the stored data collected from the above mentioned 594 states of the crack. The verification tests of defect mapping interpolating the stored data show an excellent match with the finite element method crack positioning performed for three different crack conditions. To generalize the results, here, 134 sensor layouts are considered in each of which 121 crack positions are detected by the help of probability‐based diagnostic imaging method. Then to check upon the accuracy of the results, the distance between the real center of the crack and the detected crack position by the interpolation of the stored data is calculated. Finally, the optimal sensor layouts single out from among the 134 ones based on user‐defined accuracy in localizing damage on an arbitrary monitoring area and the number of sensors.