Aerospace product performance and test integrated design parameter selection method based on gray theory

Abstract

The invention relates to an aerospace product performance and test integrated design parameter selection method based on a gray theory, and is applicable to the field of aerospace product design. Themethod comprises the following steps of 1, selecting a design parameter and an assessment index, and separately forming a scheme set and an attribute set; 2, scoring the design parameter according tothe assessment index, and forming an objective decision matrix; 3, building an ideal optimal vector, performing normalized treatment on the objective decision matrix, and computing gray association coefficients between normalized objective decision matrix elements and the ideal optimal scheme vector; 4, computing the gray association coefficients with weights to acquire gray association degrees; and 5, ranking according to the gray association degrees, and selecting the quantity of the design parameters according to a parameter cutting principle. The method provided by the invention has the beneficial effects that 1, the quantitative aerospace product performance and test integrated design parameter selection method is firstly provided, so that the performance and efficiency of the productcan reach the best; 2, the parameter is selected according to the association between the design parameters and the assessment indexes, and the weights of the assessment indexes, the selection methodis more scientific and reasonable; 3, the performance and the efficiency of the product can reach the best; and 4, under the condition of unknown weights, the design parameter also can be selected.

Description

technical field [0001] The invention belongs to the field of aerospace product design and can be used to guide aerospace products to select design parameters when performing integrated design of performance and testing. Background technique [0002] Under the guidance of the idea of ​​solving problems, aerospace products usually attach great importance to and pay attention to the design and realization of performance and functional indicators (referred to as performance design), and design general quality characteristics such as product reliability, maintainability, testability, and supportability. (referred to as test design) is not very important. In the process of product development, performance and test design are separated, which makes the problems of high failure rate, short life, long test and diagnosis time, and difficult maintenance guarantee during product use more prominent. The research shows that it is an important way to fundamentally solve the above problems ...

AI Technical Summary

Problems solved by technology

So far, there has been no report on the research on the selection method of performance and test integrated design parameters

Images