The application discloses a sand go
desert environment wind
turbine gearbox maintenance decision optimization method and
system, wherein: firstly, the online residual life prediction value, inspection information and environment state of the gearbox are acquired; then, the prediction and inspection information are fused through a double-path calibration network, the point value life is calibrated according to the
posterior probability, and the survival consistency constraint is introduced to obtain the residual life probability distribution; then, the interval
failure risk is calculated based on the distribution, the maximum safe maintenance interval meeting the preset
risk threshold is solved, and the risk feasible maintenance window is formed; at the same time, the environment
accessibility function is constructed in combination with the
wind speed, temperature, dust and road conditions, and the time-varying operation and maintenance cost model is established, which comprises the outgoing cost, operation cost, shutdown loss and collaborative maintenance discount; finally, in the risk feasible window, the
optimal maintenance time and action with the minimum total cost are solved through a rolling optimization strategy. The application can significantly improve the reliability and economy of the maintenance decision in the sand go desert complex environment.