This paper was to discriminate raw Pu-erh tea model from different storage times by the feature of polyphenols. The representative contents of 18 samples obtained from different storage times were analyzed by high performance liquid chromatography. Principal Component Analysis， Cluster Analysis and Partial Least Squares Discrimination Analysis model were applied to identify as the significant components which was visibly altered in the different storage of raw Pu-erh tea. The results showed that the catechin showed a gradually decreasing trend， the theaflavins showed a gradually increasing trend. Some components of flavonoid and flavonoid glycosides showed a downward trend while others showed an upward trend. The results of stoichiometric analysis showed that the raw Pu-erh tea samples from the same storage times could be aggregated， but the results of separation between the raw Pu-erh tea samples with different storage times were not good. It showed that obvious separation trend of the raw Pu-erh tea samples in the different storage of times by partial least squares discrimination analysis model. According to the Variable Importance Plot （VIP>1） in partial least square analysis model， combined with the content difference analysis， the result showed that gallic acid， kaempferol， theaflavin-3-gallic， epigallocatechin， epicatechin， gallocatechin and gallocatechin gallate had obviously change during the storage of the raw Pu-erh tea. To sum up， the result showed 7 components were used as signature by discrimination model.