Product robustness analysis method based on parameter range matching

Abstract

The invention discloses a product robustness analysis method based on a parameter value range, and belongs to the technical field of product design. The product robustness analysis method comprises the following steps that (1) a topological structure of a product member is established; (2) robustness indexes of the member are calculated; and (3) a total robustness index of a product is calculated,specifically, from each system input stream, the product member robustness indexes from the input stream to an output stream are multiplied according to the product member robustness indexes, so thata robustness index on the output stream is obtained. According to the product robustness analysis method based on the parameter value range, based on the robustness of the member under the context environment, a weak link of the product robustness can be quickly found out, guidance is provided for improving product design, and design efficiency is improved; design personnel can effectively recognize a member which is sensitive to input parameters namely low in robustness in a product structure by means of the method, and the method is convenient for the design personnel to analyze the robustness lack problem in a product design scheme and improve product design.

Description

Technical field [0001] The invention relates to the field of product design, that is, in the early stage of product design, when the component selection is completed, how to analyze the reliability of the product on the basis of the input parameter range of the product component, so as to help designers quickly find the potential in product design. The problem of stick defects not only improves design efficiency, but also provides direction guidance for improving product design. Background technique [0002] "Robustness" refers to the characteristics of the control system that maintain certain other performances under certain (structure, size) parameter perturbations. The robustness of the system is the key to the survival of the system under abnormal and dangerous conditions. Robust control methods are suitable for applications where stability and reliability are the primary goals, while the dynamic characteristics of the process are known and the range of uncertain factors can...

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Problems solved by technology

[0008] Traditional robustness analysis is often carried out in the later stage of product design, that is, after the design scheme is completely determined, and on the basis that all design parameters are known, it is carried out by constructing complex mathematical models, and supports the early stage of product design. The fast and robust analysis method is still lacking

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