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In view of the traditional abnormal detection of the motor often appear in the case of miscarriage of justice or lag,this paper using AR fitting and SOM neural network unsupervised way to quantify the motor data based on the time series of the motor single state parameters.Then, the transition probability of the sequence is obtained by combining the quantitative sequence with the AR curve, and the abnormal changes of some state parameters are discovered as soon as possible.After that, DBSCAN algorithm mining multi-dimensional parameters of the relationship between the characteristics of the motor to determine whether there is abnormal.Finally, the detection process of the method is illustrated with an example, and the advantages of this method are verified by comparison.