A new approach for reliability analysis with time-variant performance characteristics

Z Wang, P Wang - Reliability Engineering & System Safety, 2013 - Elsevier
Reliability represents safety level in industry practice and may variant due to time-variant
operation condition and components deterioration throughout a product life-cycle. Thus, the …

[HTML][HTML] Safety assessment using computer experiments and surrogate modeling: Railway vehicle safety and track quality indices

JN Costa, J Ambrósio, AR Andrade, D Frey - Reliability Engineering & …, 2023 - Elsevier
Mathematical modeling and advances in computation allow exploring multiple scenarios
and studying the reliability and safety of transportation systems. Although track geometry …

A simultaneous calibration and parameter ranking method for building energy models

J Yuan, V Nian, B Su, Q Meng - Applied energy, 2017 - Elsevier
The existing stock of buildings is a major contributor to energy-related carbon emissions.
Significant savings in building energy consumption can be derived through retrofit. Building …

Evaluation of cost-effective building retrofit strategies through soft-linking a metamodel-based Bayesian method and a life cycle cost assessment method

J Yuan, V Nian, B Su - Applied Energy, 2019 - Elsevier
The building sector contributes a major proportion of the global energy consumptions and
carbon emissions. The energy performance or efficiency of buildings can be improved …

A Bayesian statistical method for quantifying model form uncertainty and two model combination methods

I Park, RV Grandhi - Reliability Engineering & System Safety, 2014 - Elsevier
Apart from parametric uncertainty, model form uncertainty as well as prediction error may be
involved in the analysis of engineering system. Model form uncertainty, inherently existing in …

Bayesian optimisation vs. input uncertainty reduction

J Ungredda, M Pearce, J Branke - ACM Transactions on Modeling and …, 2022 - dl.acm.org
Simulators often require calibration inputs estimated from real-world data, and the estimate
can significantly affect simulation output. Particularly when performing simulation …

A meta model based Bayesian approach for building energy models calibration

J Yuan, V Nian, B Su - Energy Procedia, 2017 - Elsevier
Buildings contribute a large proportion of energy-related emissions. In order to characterize
the buildings' energy performance, building energy models have been widely used due to …

Bayesian calibration with adaptive model discrepancy

N Leoni, O Le Maitre, MG Rodio… - … Journal for Uncertainty …, 2024 - dl.begellhouse.com
We investigate a computer model calibration technique inspired by the well-known Bayesian
framework of Kennedy and O'Hagan (KOH). We tackle the full Bayesian formulation where …

Fault diagnosis strategy for wind turbine generator based on the Gaussian process metamodel

D Zhang, J Yuan, J Zhu, Q Ji… - Mathematical Problems …, 2020 - Wiley Online Library
To facilitate continuous development of the wind power industry, maintaining technological
innovation and reducing cost per kilowatt hour of the electricity generated by the wind …

Calibration, validation, and prediction in random simulation models: Gaussian process metamodels and a bayesian integrated solution

J Yuan, SH Ng - ACM Transactions on Modeling and Computer …, 2015 - dl.acm.org
Model calibration and validation are important processes in the development of stochastic
computer models of real complex systems. This article introduces an integrated approach for …