In this paper,a new intelligent fault diagnosis scheme and classification based on wavelet packet transform(WPT)and extreme learning machine(ELM)was proposed.The energy of each band was calculated from decomposed original vibration signals as the feature vector input to classifiers.A novel classifier,ELM,was introduced in this study to diagnose the fault on rolling bearings.Different kinds of motor bearing vibration signals were analyzed.The results show that the bearing's normal state,single fault state and multifault state can be effectively classified.