Creation of the Base of a Simulation Model’s Precedents for Analysis of the Spacecraft Onboard Equipment Testing Results

Nozhenkova, Ludmila; Isaeva, Olga; Koldyrev, Andrey

doi:10.2991/cmsa-18.2018.18

Cited by 6 publications

(2 citation statements)

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“…The test task in this case is to demonstrate that  xX  yY | y[y m -∆y, y m +∆y], where y m Y  are the results of simulation. The description of the model and test methods on its basis are provided in [8,9].…”

Section: Figure 1: Scheme Of Conducting a Testmentioning

confidence: 99%

Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems

2021

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies With Applications 2021

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This article presents a method for the analysis of test programs for informational interaction of technical systems with the command-and-software control. The study also deals with the creation of formal principles of the analysis of the structure and knowledge base of the intellectual simulation model, as well as it considers the tools for their infographic presentation. The new method is based on building and using digital twins combining the software-and-mathematical models of devices and knowledge bases describing the principles of their functioning and retrospective and operational data acquired during testing of the real equipment. The stages of the method implementation include the construction of digital twins of the function of the tested object, automated building of the knowledge base from the test programs, comparison of the constructed knowledge bases, simulation of environmental systems during autonomous tests and analysis of the informational interaction of the tested devices. The knowledge base is built on the basis of the parameters set in the test programs determining commands, ways of data transmission, tickets and actions of the onboard systems. The rules of the knowledge bases are simply interpreted, clear and they are described in terms of the subject area. The method provides the consideration of the existing variety of methods for the onboard equipment control performed on the basis of different approaches and communication protocols which can be set in the model during the onboard equipment design.

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Section: Figure 1: Scheme Of Conducting a Testmentioning

confidence: 99%

Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems

2021

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies With Applications 2021

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“…The analysis of the results of simulation model's testing allow to find specifics of its function that may stay unnoticed during analysis of single parameters. The method of analysis of onboard equipment testing by simulation model's precedents is described in detail in [13].…”

Section: Figure V Monitoring Of Command-and-software Control's Testingmentioning

confidence: 99%

Methods of Test Procedures’ Generation on the Basis of Simulation Model’s Knowledge Base

Isaeva¹,

Nozhenkova²,

Koldyrev³

2019

Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)

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Graphical Method of Intellectual Simulation Models’ Analysis on the Basis of Technical Systems’ Testing Results

Isaeva

Nozhenkova

Kulyasov

et al. 2020

Software Engineering Perspectives in Intelligent Systems

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Creation of the Base of a Simulation Model’s Precedents for Analysis of the Spacecraft Onboard Equipment Testing Results

Cited by 6 publications

References 6 publications

Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems

Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems

Methods of Test Procedures’ Generation on the Basis of Simulation Model’s Knowledge Base

Graphical Method of Intellectual Simulation Models’ Analysis on the Basis of Technical Systems’ Testing Results

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