%0 Journal Article
%T Gaussian mixture model¨Cbased path
%A Fang Fang
%A Lei Qiu
%A Shenfang Yuan
%A Yuanqiang Ren
%J Structural Health Monitoring
%@ 1741-3168
%D 2019
%R 10.1177/1475921717752661
%X With the capabilities of achieving large-scale monitoring, improving signal-to-noise ratio, and obtaining a high localization accuracy and strong fault tolerance, guided wave and piezoelectric sensor network¨Cbased damage imaging technique seems to be the key technique to realize damage localization of complex aircraft composite structures. However, aircraft structures usually work under random and complicated time-varying conditions, which may introduce nonnegligible uncertainties in the acquired guided wave signals and mask the subtle changes caused by damage. The current damage imaging methods barely consider this time-varying issue and are unable to reliably locate damage. To increase reliability, a Gaussian mixture model¨Cbased guided wave path-synthesis accumulation imaging method is proposed for damage imaging of complex aircraft composite structures under time-varying conditions. The Gaussian mixture model is used to suppress time-varying influence and achieve time-varying-independent damage characterization, based on which the guided wave path-synthesis imaging is conducted to perform the fusion of sensor network information and generate an image. During the monitoring process, a series of images will be generated with damage information accumulated, and the damage will gradually emerge in these images and can be located eventually. The typical time-varying condition, temperature variation, is chosen to verify the feasibility and effectiveness of the proposed method on a stiffened carbon fiber composite plate; the results show good performance of reliable damage imaging and localization within a temperature range from 0¡ãC to 60¡ãC
%K Gaussian mixture model
%K guided wave
%K time-varying conditions
%K damage imaging
%K aircraft composite structure
%U https://journals.sagepub.com/doi/full/10.1177/1475921717752661