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    An Enhanced Bayesian Based Model Validation Method for Dynamic Systems 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 004:;page 41005
    Author(s): Zhenfei Zhan; Yan Fu; Yinghong Peng; Ren-Jye Yang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Validation of computational models with multiple correlated functional responses requires the consideration of multivariate data correlation, uncertainty quantification and propagation, and objective ...
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    Bayesian Based Multivariate Model Validation Method Under Uncertainty for Dynamic Systems 

    Source: Journal of Mechanical Design:;2012:;volume( 134 ):;issue: 003:;page 34502
    Author(s): Zhenfei Zhan; Yinghong Peng; Yan Fu; Ren-Jye Yang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Validation of computational models with multiple, repeated, and correlated functional responses for a dynamic system requires the consideration of uncertainty quantification and propagation, multivariate ...
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    Comparison of the HAZOP, FMEA, FRAM, and STPA Methods for the Hazard Analysis of Automatic Emergency Brake Systems 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 008 ):;issue: 003:;page 31104-1
    Author(s): Sun, Liangliang; Li, Yan-Fu; Zio, Enrico
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As autonomous vehicle (AV) intelligence for controllability continues to develop, involving increasingly complex and interconnected systems, the maturity level of AV technology increasingly depends on the systems reliability ...
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    Two-Stage Fractional Programming Method for Managing Multiobjective Waste Management Systems 

    Source: Journal of Environmental Engineering:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Xiong Zhou; GuoHe Huang; Hua Zhu; YuanYuan Zhai; Bin Yan; HaiYan Fu
    Publisher: American Society of Civil Engineers
    Abstract: In this study, a two-stage fractional programming (TSFP) method is developed for supporting municipal solid waste (MSW) management under uncertainty. The model can not only balance two conflicting objectives through ...
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