Abstract
Moving load could enhance damage-structural nonlinear character. High-order statistical analysis described character of non-stationary signal more exactly than traditional fourier spectrum based on second-order statistics analysis. The result of high-order spectrum analysis was two-dimensional，and spectrum entropy of different frequency can extract its intrinsic information and characters from it. Using these characters, the structural damage pattern could be recognized by neural network. The validity of this method was reviewed by a beam under moving load. When structure has damage, its state information can be extracted availably from high-order spectrum entropy of structural vibration, and it isn’t sensitive to noise. It can be used as eigenvectors of pattern recognition based on neural network.
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