Theory And Application Research Of The Method Based On The Combination Of The Dynamic Diagnosis And LMBP Network

This paper focused on the theory and application of the method based on the combination of the dynamic diagnosis and neural network. Through the theory and reference material analysis, it showed that the change of the dynamic characteristic parameters can reflected the damage location and degree. In the paper, carried on rational variation as the input values of the network, took the mix optimization tactics as the networks algorithm. Those have improved the performance of the network. The paper also described the multi-level damage detection technology and tactics realized based on the neural network. Used computer to simulate different damage of a frame structure, detected the structure by the trained network. The result showed that the network could make good judgments to the damage state of the structure. Have not considered the influence of the error in the paper, so apply to reality need to do a large amount of work.