Abstract
This paper introduces the concepts of equipment test qualification and uncertainty quantification, and the analysis framework and process of equipment test uncertainty quantification. It analyzes the data uncertainty, model uncertainty and environmental uncertainty, and studies the corresponding uncertainty quantification theory to provide technical reference for the application of uncertainty quantification technology in the field of test identification.
Highlights
With the development of weapon equipment, the demands are more large-scale, complex and precision, the comprehensive test of the system has the characteristics of high cost, long cycle and many restrictions by objective conditions
DARPA plans to carry out a new mathematical research project "quantifying the uncertainty of physical systems"
This paper studies the characteristics of equipment that affect test design, test implementation and test evaluation in the process of different types and stages of test, defines the uncertainty factors
Summary
With the development of weapon equipment, the demands are more large-scale, complex and precision, the comprehensive test of the system has the characteristics of high cost, long cycle and many restrictions by objective conditions. Due to the limitation of understanding the physical mechanism of the system, it is difficult to guarantee the authenticity and accuracy of the model in the virtual test, which is a challenging problem for the overall evaluation of the system. In order to reduce the development time and cost of aerospace system and equipment as much as possible, explore the test methods and means that can reflect the combination of virtual and real system, quantify the impact of uncertainty factors, and carry out the research on quantitative technology of equipment test uncertainty, which can improve the test efficiency, shorten the development cycle, reduce the test cost and ensure the quality of equipment[1]. This paper studies the characteristics of equipment that affect test design, test implementation and test evaluation in the process of different types and stages of test, defines the uncertainty factors.
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