Equipment Life Prediction Method Based on Multi-source Data

摘要

Based on Kalman smoothing to synthesize multi-source data, the degradation model of Weiner process drift coefficient changing with time is established. The analytical expression of model parameter estimation is given by EM algorithm. Combined with the actual test data, the life of marine propulsion system gearbox is predicted. Compared with the traditional method and test results, the method is proved to be more accurate, which is of great significance to the life prediction of ship propulsion system related equipment.