An efficient method for time-dependent reliability problems with high-dimensional outputs based on adaptive dimension reduction strategy and surrogate model

Ji, Yuxiang; Liu, Hui; Xiao, Ning‐Cong; Zhan, Hongyou

doi:10.1016/j.engstruct.2022.115393

Cited by 13 publications

(2 citation statements)

References 46 publications

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“…Obviously, since it involves the dynamic finite element simulation analysis of the deployment mechanism, it is very time-consuming, costly and even unacceptable to calculate the failure probability by directly adopting the Monte Carlo Simulation (MCS) method. To address this problem, this paper adopts the classic active learning reliability method [24][25][26] (AK-MCS), which combines MCS and Kriging in recent years, to calculate the failure probability of the deployment mechanism, and its general calculation flow is shown in Figure 10.…”

Section: Reliability Analysis Of Satellite Antenna Deployment Mechanismmentioning

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: Reliability Analysis Of Satellite Antenna Deployment Mechanismmentioning

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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“…According Ji [Ji et al 2023], PCA (Principal Component Analysis) is useful to reduce dimensions. Therefore, it was used to reduce the threat procedures table and allowed the kill-chains of each threat, campaign and security operations centre to be plotted in a scatter with two dimensions.…”

Section: Plotting Requirementsmentioning

confidence: 99%

Identification of Potential Threats in the Critical Path for Defense Operations by Cross Reference Features Clustering

Horta,

Marinho,

Holanda

2023

Anais Do XXIII Simpósio Brasileiro De Segurança Da Informação E De Sistemas Computacionais (SBSeg 2023)

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Cyber attacks are a threat to the security of the most diverse types of organizations. To mitigate the risk of suffering successful attacks, organizations use different types of assessments. The research problem addressed in this study is to present, among the behaviors of known threats, those that are similar to the assessment campaign carried out and consequently represent greater risk when attempting attacks using the more exploitable critical path. The purpose of this research is to present a method for identifying the critical path of the threat and the similarity factor by Cross Reference Features (CRF) method to identify the opponents most similar to the procedures used in the assessment campaign carried out. The CRF was used as a baseline for comparison between 2 unsupervised learning algorithms in the threat clustering task. For essays that considered only groups as threats, K-means outperformed the Hierarchical Agglomerative Clustering by 2.4 percentage points, while in the essay with all threats, Hierarchical Agglomerative Clustering surpassed K-means by 2.3%.

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On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling

Zhao,

Zhang,

Yang

et al. 2024

Struct Multidisc Optim

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An efficient method for time-dependent reliability problems with high-dimensional outputs based on adaptive dimension reduction strategy and surrogate model

Cited by 13 publications

References 46 publications

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

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

Identification of Potential Threats in the Critical Path for Defense Operations by Cross Reference Features Clustering

On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling

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