Research on Life Prediction of Airborne Fuel Pump Based on Combination of Degradation Data and Life Data

The airborne fuel pump as a typical high-reliability, long-life electromechanical component, its life prediction has problems such as small sample size and low prediction accuracy. Firstly, the degradation testing platform for airborne fuel pump is designed to obtain degradation data and life data. Secondly, a drift wiener process degradation model based on the combination of degradation data and life data is established. Finally, the life prediction is performed. The results show that predicted life of the airborne fuel pump, by the drift wiener process degradation model based on the combination of degradation data and life data, is closer to the true value and has higher accuracy, comparing to that by drift wiener process degradation model based on degenerate data.