1 results about "Periodic maintenance" patented technology

The present application mainly relates to the technical field of aircraft maintenance. In order to solve the problem of low prediction accuracy of hinge wear under the scene of small sample, variable working condition, individual difference and equipment degradation, the present application provides a kind of aircraft door hinge wear prediction method based on dynamic wear coefficient, the core is based on real wear coefficient as training label, constructs physical information embedding type neural network, the working condition parameters of hinge are as input, the real wear coefficient is as training label and is trained to obtain the wear coefficient prediction model, after training, the working condition parameters collected in real time are input into the model to obtain the dynamic wear coefficient that changes with the working condition in real time, and the wear depth is recursively calculated based on the dynamic wear coefficient using discrete integration method;At the same time, the measured wear depth obtained by periodic maintenance is used to realize the adaptive correction of the model by weighting fusion and scaling update of the output layer weight of the model, and the high-precision adaptive prediction result of the wear depth of the aircraft door hinge is obtained.