Data Supplement Model for Virtual Simulation of Maintenance Time Test Based on Multilevel Iteration and Neural Network

Maintenance time reflects the level of product maintainability design, and is a quantitative parameter that must be considered in the stages of product finalization, evaluation and use. At present, the maintenance time of each stage is mainly obtained by statistical test, and then the specified time sample size is used to judge whether the product meets the requirements of maintainability design. However, due to its complex system, high test cost, too many test stages and long test cycle, the time data of aviation product finalization, evaluation and use stage can not reach the minimum sample size required by common statistical methods, which makes it difficult to carry out the maintainability verification of aviation equipment. At the same time, the simulation time data and historical time data of different stages obtained by virtual maintenance methods are not used in maintainability verification, resulting in a waste of resources. Therefore, this paper proposes a maintenance time verification data supplement model based on virtual simulation and multi-stage iteration. Firstly, the model trains the virtual simulation data and maintainability related information through neural network to obtain training data, so as to supplement the time data in the finalization stage. Then, according to the time test data in the finalization stage, the model updates the simulation time data symmetrically and reversely to complete the supplement and update of the maintenance time data in the finalization stage. And with the continuous progress of the stage, the time test data of this stage and the training data of the previous stage are used to complete the supplement and update of the time data of this stage. The model can not only train the time and maintainability data of virtual maintenance by neural network to supplement the time test data of finalization stage, but also continuously supplement and update the maintenance time data of three stages by multi-level iterative model. To sum up, the model fits the actual development process of the product, and has significant significance to reduce the maintenance and verification cost and shorten the development cycle.