Abstract: This paper analyzes the location of mine elevator system for the common fault type and characteristics of mine elevator system, and determines the fault cause of common motor fault, gearbox fault and the main characteristics of different fault characteristic detection points. Established the mine elevator multidimensional data fusion fault intelligent diagnosis system, with the actual application of vertical winding double drum lifting system for case analysis, in the corresponding parts of the sensor collection abnormal characteristics, abnormal visual analysis, different fault types get different vibration curve, through the abnormal vibration curve can judge the system fault type. The field test showed that the collected anomaly analysis process only took 1.43s, and the anomaly identification accuracy was as high as 98.4%, and satisfactory test results were obtained.