Performance Degradation Analysis and Life Prediction of the Fatigue Damage Process of High Strength Aluminum Alloy Using Acoustic Emission

The gearbox is one of the key components of the high-speed train system. In order to predict the fatigue damage behavior of high-speed train gearbox shell material, we propose a new method. Because the fatigue process is long and there is no whole life fatigue damage data of the shell, the performance degradation method and acceleration test with acoustic emission instrument have been used. A new Adaboost data distribution adjustment algorithm is proposed to solve the problem of data imbalance of acoustic emission signals during the fatigue process. Then a cumulative count trend model and a fatigue life prediction model are developed. The life prediction error is controlled within 400 s, most errors are less than 200 s, and the relative error is less than 1.1%, which ensures the feasibility of the developed model. In the future, this model can be used in long-time life prediction researches.