Reliability modeling and evaluation method based on aerospace product signal transmission path

Abstract

The invention discloses a reliability modeling and evaluation method based on an aerospace product signal transmission path. The reliability modeling method based on the aerospace product signal transmission path has the capabilities of describing complicated features, such as dynamics, stages, polymorphism and correlation, of complicated aerospace products, enabling a model to describe the products more finely; directly utilizing the product development information, preventing reliability analysis personnel from reprocessing the product development information in some degree, enabling a model building method to be simple, and enabling the model to more objectively describe the products; enabling a model quantification method to be more efficient and accurate through a computer sampling simulation algorithm; recognizing the weak links of the products through comprehensive analysis and information mining methods, such as important degree computing and sorting, sensitivity analysis, contrast analysis and tradeoff analysis, and providing effective information for the design improvement of the products.

Description

technical field [0001] The invention belongs to the technical field of reliability evaluation of aerospace products, and in particular relates to a reliability modeling and evaluation method based on a signal transmission path. Background technique [0002] With the continuous development of my country's aerospace technology, the tasks of aerospace products are becoming more and more complex, with obvious characteristics such as dynamic changes in the task process and various task results, which bring difficulties to the reliability modeling and evaluation of aerospace products. [0003] At present, a variety of reliability modeling and evaluation methods are used in the aerospace field, but there are certain problems, mainly in two aspects: reliability modeling and model quantitative evaluation. For reliability modeling, some methods describe the product too simplistically and cannot reflect the characteristics of the product such as dynamics, phases, polymorphism, and corr...

AI Technical Summary

Problems solved by technology

For reliability modeling, some methods describe the product too simplistically and cannot reflect the characteristics of the product such as dynamics, phases, polymorphism, and correlation, such as the reliability block diagram modeling method; although some methods can express the product complex characteristics, but the modeling process is too complicated, the model construction is difficult, and the product development information cannot be directly used. It is necessary to "digest, absorb and reprocess" the product development information. This "reprocessing" process is similar to The technical level of analysts is closely related, therefore, the model has strong subjectivity, which affects the accuracy of model construction, such as the probability risk assessment method

For the quantitative evaluation of reliability models, the currently used interval estimation methods are mostly analytical methods, which are difficult to quantify complex models, and the calculation accuracy is affected due to the need to use data conversion methods in the calculation process

Due to the above two reasons, the accuracy of reliability modeling and evaluation of aerospace products is low and difficult

[0004] In view of the above two problems, the research at home and abroad is still in its infancy, and there are still many practical application problems to be solved urgently

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