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A new approach for reliability analysis with time-variant performance characteristics
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 …
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
Mathematical modeling and advances in computation allow exploring multiple scenarios
and studying the reliability and safety of transportation systems. Although track geometry …
and studying the reliability and safety of transportation systems. Although track geometry …
A simultaneous calibration and parameter ranking method for building energy models
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 …
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
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 …
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
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 …
involved in the analysis of engineering system. Model form uncertainty, inherently existing in …
Bayesian optimisation vs. input uncertainty reduction
Simulators often require calibration inputs estimated from real-world data, and the estimate
can significantly affect simulation output. Particularly when performing simulation …
can significantly affect simulation output. Particularly when performing simulation …
A meta model based Bayesian approach for building energy models calibration
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 …
the buildings' energy performance, building energy models have been widely used due to …
Bayesian calibration with adaptive model discrepancy
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 …
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 …
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
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 …
computer models of real complex systems. This article introduces an integrated approach for …