A consistency test method for simulation data considering shape and distance of series

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Abstract

By utilizing contrasting results between simulation data and reference data, dynamic consistency test of simulation results is an important content of model validation. In this paper, a novel consistency test method considering shape and distance of series is proposed. Based on the analysis of dynamic consistency test problem, an improved grey relational grade model is established to assess the dynamic consistency among series, which considered the shape and distance of series as two main attributes. The consistency is tested in view of similarity and nearness between series to accomplish overall test task. Meanwhile, the method is effective to test the consistency for the two sets of simulation series being symmetric of reference data. Finally, an example of consistency test for launch current of electromagnetic railgun is given to illustrate that the improved method is effective and practical for assessment of dynamic consistency of simulation data. © 2012 Springer-Verlag.

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Hu, Y., Ma, P., Yang, M., & Wang, Z. (2012). A consistency test method for simulation data considering shape and distance of series. In Communications in Computer and Information Science (Vol. 323 CCIS, pp. 447–453). https://doi.org/10.1007/978-3-642-34384-1_53

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