This paper investigates the migration learning AlexNet-based algorithm for recognition of assembly building structures and based on an improved algorithm, gives analysis results. The structure AlexNet convolutional neural network is introduced basic principles are analysed. optimal model ceiling damage task was obtained through parameter adjustment, with a test accuracy 96.6%. maximum improveme...

Principal component analysis (PCA) methods have been widely applied to damage identification in the long-term structural health monitoring (SHM) of infrastructure. Usually, first few eigenvector components derived by PCA are treated as damage-sensitive features. In this paper, effective method double-window (DWPCA) and novel features proposed for better performance. method, spatial temporal win...