... methods (including attenuation, backscatter, and absorption). Using a sample inventory of manufactured representative microstructure conditions in thin-walled tubes, five of the eight microstructure conditions could be identified by data fusion. Combined magnetic methods appeared as a primary technique...

.... The research question developed for this paper was as follows: Can data fusion techniques used along with data augmentation improve the damage diagnostics using the convolutional neural network? The specific aims developed to answer this research question were: (1) highlighting the importance of data fusion...

... for the damage identification process [ 45 , 46 ]. Based on the above, the FRF data will be fed into the classifier to establish the predictive modal in order to investigate the different approaches proposed, focusing on the development of an efficient and robust method in data fusion. A typical FRF response...