In order to recognize vibration signal from dual M-Z fiber-optic sensor

a mode recognition method based on wavelet energy entropy and support vector machine（SVM） is introduced.This method is applied to solve energy information entropy with each band coefficient obtained by wavelet decomposition

then normalized into feature vector

which is used as input for SVM multiclass classifier modeling

with proper kernel function and classification method.SVM model is tested by test sample in condition of multivibration signals

and test result indicates that high recognition accuracy can be achieved by this method.