A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring
Use of MPCA, DWT, SPE measures and SOM to detect and classify damages. The description of the methodology for detecting and classifying damages. Use of a multisensor network in several actuation phases and data fusion. The study of the advantages in the use of the DWT in the methodology. Validated with two structures (an aircraft fuselage and a multi-layered CFRP plate).
structural health monitoring active ultrasonic guided-wave testing discrete wavelet transform principal component analysis self-organizing maps