Speed reducer fatigue acceleration test and residual life prediction method and storage processing system

The invention provides a speed reducer fatigue acceleration test and residual life prediction method and a storage processing system, and relates to the technical field of machine learning. The method comprises the following steps: fatigue performance parameters of a to-be-predicted speed reducer are obtained, the fatigue performance parameters comprise the average fault-free time and the stress cycle number, and the fatigue performance parameters are fatigue life characterization parameters in an ideal state; a performance degradation model of the speed reducer is constructed based on the fatigue performance parameters; a pre-constructed fatigue acceleration model and a pre-constructed performance degradation model are adopted, acceleration factors are screened, an acceleration test is carried out, the fatigue durability of the speed reducer in the current stage and a performance degradation test result are obtained, and the fatigue durability of the current stage comprises the remaining average fault-free t