Abstract: A new intelligent prediction method was proposed for the problem of the insulation life prediction of the motor of mine submersible pump. The main influencing factors of the insulation life of the motor of mine submersible pump were analyzed, and the standard method of sample data was presented. Three main factors, such as voltage, temperature and water pressure, were used as the input parameters of the model, and the insulation life prediction model of the motor of mine submersible pump was established based on support vector regression. The simulation results of the practical application show that the model’s predicted life is in agreement with the measured lifetime and the error is small, so the model is reasonable and effective.

Key words: mine submersible pump, motor, life prediction, support vector machine