New time series decomposition method and its application on machinery fault diagnosis

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A new time series decomposition method is intro- duced.It is deduced from S-transform;the algorithm is used to separate one dimension time series into two dimension local time series.By researching on the different separating compo- nent,the local characteristic and implication distinction of the time series can be gained.Though numerical simulations ex- periment,it is proved that the algorithm is feasible on extract- ing characteristic information.A statistical characteristics pa- rameter is defined based on the time series decomposition method.It is used for the data analysis of different fault gear; the result indicates the method has an excellent effect on ma- chinery fault classification.