Insulation life prediction of high voltage submersible motor based on BP neural network

High voltage submersible motor works in deep water all the year around, and its operating insulation performance deteriorates influenced by the complex environment. Due to the special installed circumstances, the motor can not be readily maintained. Because of the losses caused by motor deterioration, the prediction of the insulation life-expectancy has a great significance. This paper analyzes the impacting factors of the insulation life-expectancy of the high voltage submersible motor. At the same time, the paper proposes the way of using BP neural network to predict the insulation life-expectancy of the high voltage submersible motor. The accelerated life experiment proves that using BP neural network prediction of motor life-expectancy can live up to actual requirements.