STUDY ON DATA FUSION METHOD FOR TRUSS STRUCTURE DAMAGE IDENTIFICATION

Data fusion techniques were used to do single-damage and multi-damage identification of truss structures.By studying the structural damage theory based on frequency,it was analysed the relation between the normalized frequency and location of damage;and the wavelet probabilistic neural network algorithm was used to modify decision fusion,thus establishing a data fusion model of structural damage identification based on wavelet probabilistic neural network.The structural calculation software was used to calculate the frequency of a typical truss structure,which was integrated into an input feature vector of the wavelet probabilistic neural network algorithm,and a damage identification was done for the truss structure model example.Through truss damage of different locations to verify the effectiveness of the method was verified,and the problems needing attention during engineering uses was proposed.The results showed that data fusion technology based on wavelet probabilistic neural network algorithm was a more reliable damage identification method,and had good prospects for engineering applications.