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Research on Credibility Assessment Method for Simulation Model based on Mixed Data from Internal and External Field |
JIANG Yihang, LUO Tiansu, LU Yingbo, ZHOU Jinpeng, YAO Fangjing |
Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China |
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Abstract To overcome the challenges faced in simulation assessment, such as the intense subjectivity of assessment results, the lack of assessment analysis in simulation model resources, the difficulty in implementing traditional confidence verification steps for simulation models, and the difficulty in quantifying assessment indicators, a set of verification and validation and accreditation(VV&A) methods for simulation models based on mixed data from internal and external fields was proposed in this paper. The proposed method had the advantages of strong operability and quantifiability. By dividing the assessment object into different functional modules, using internal and external field test data to verify the simulation model, and conducting an assessment from the perspective of model data sources and modelling methods, experts were organised to review and confirm the confidence assessment process and report, which ultimately presenting a quantified confidence assessment result of the simulation model.
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Received: 15 January 2025
Published: 15 July 2025
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