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A particle filter method for damage location in plate‐like structures by using Lamb waves
Author(s) -
Yan Gang
Publication year - 2014
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.1605
Subject(s) - lamb waves , morlet wavelet , particle filter , structural health monitoring , piezoelectric sensor , acoustics , time of arrival , filter (signal processing) , path (computing) , engineering , structural engineering , wavelet , computer science , wavelet transform , piezoelectricity , physics , artificial intelligence , surface wave , discrete wavelet transform , telecommunications , electrical engineering , wireless , programming language
SUMMARY This paper proposes a probabilistic approach for localizing damage in plate‐like structures by using particle filter (PF) method with considerations of the uncertainties from modeling and measurement. A piezoelectric sensor network is deployed on the plate‐like structures to excite and receive diagnostic Lamb waves before and after damage. The damage‐scattered waves that contain characteristic information about the damage are then obtained and used for damage localization. A complex Morlet wavelet transform is employed to highlight the time‐of‐arrival of the scattered waves in each actuator–sensor path to help measuring the time‐of‐flight values. After that, damage localization is formulated as a Bayesian state estimation problem with the damage location and the wave velocity as the unknown state parameters. A PF procedure is developed to iteratively estimate the unknown parameters simultaneously. Numerical study for an aluminum plate and experimental study for a stiffened aluminum panel are conducted to demonstrate the effectiveness and applicability of the proposed PF‐based localization method. Copyright © 2013 John Wiley & Sons, Ltd.