Second-level randomness test based on the Kolmogorov-Smirnov test

Yamaguchi, Akihiro; Saito, Asami

doi:10.14495/jsiaml.14.73

Cited by 2 publications

(1 citation statement)

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“…This paper employs the single-sample Kolmogorov-Smirnov (K-S) test 22,23 to examine the collected data, aiming to determine the distribution type. The K-S test is a nonparametric statistical method commonly used to assess whether a single sample conforms to a known distribution.…”

Section: Theoretical Introduction To the K-s Testmentioning

confidence: 99%

Dynamic modeling and reliability analysis of satellite antenna deployment mechanism based on parameter uncertainty

Wang,

Qian,

et al. 2024

Quality & Reliability Eng

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This study delves into the factors that affect the reliability of satellite antenna deployment mechanisms. It employs the Kolmogorov–Smirnov (K‐S) test to quantify uncertainty characteristics, leading to the acquisition of pertinent stochastic parameters. Subsequently, three‐dimensional models and finite element models of the satellite antenna deployment mechanism are established using SOLIDWORKS and ANSYS software. Modal distribution, harmonic response analysis, random vibration analysis, and deployment process simulation are conducted. Parameterized modeling of the deployment mechanism's dynamics simulation process is performed, taking into consideration parameter uncertainty. Finally, a Kriging surrogate model is utilized to formulate an approximate expression between the factors influencing the reliability of the antenna deployment mechanism and its dynamic response. Based on the general stress‐strength interference theory, a reliability analysis model is constructed. Combined with active learning algorithms, this approach achieves efficient and precise calculations of the reliability of the satellite antenna deployment mechanism.

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Section: Theoretical Introduction To the K-s Testmentioning

confidence: 99%