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Journal Articles

Predicting Thermal System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Hierarchical Bayesian Inference

A. F. Emery, D. Bardot

Publisher: ASME

J. Heat Mass Transfer. March 2014, 136(3): 031301.

Paper No: HT-12-1287

https://doi.org/10.1115/1.4025640

Published Online: November 15, 2013

View Article titled, Predicting Thermal System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Hierarchical Bayesian Inference

Topics: Noise (Sound), Parameter estimation, Probability, Thermal conductivity, Thermal systems, Uncertainty, Errors, Heat losses, Chain, Density

Proceedings Papers

Predicting System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Bayesian Inference

A. F. Emery, D. Bardot

Proc. ASME. HT2008, Heat Transfer: Volume 1, 77-86, August 10–14, 2008

Publisher: American Society of Mechanical Engineers

Paper No: HT2008-56335

https://doi.org/10.1115/HT2008-56335

View Paper titled, Predicting System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Bayesian Inference

Topics: Noise (Sound), Parameter estimation, Uncertainty

Proceedings Papers

Estimating the Thermal Properties of a Calorimeter Using Hierarchical Bayesian Inference With MCMC

A. F. Emery, D. Bardot

Proc. ASME. IMECE2007, Volume 12: New Developments in Simulation Methods and Software for Engineering Applications, 1-10, November 11–15, 2007

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2007-43121

https://doi.org/10.1115/IMECE2007-43121

View Paper titled, Estimating the Thermal Properties of a Calorimeter Using Hierarchical Bayesian Inference With MCMC

Topics: Calorimetry, Convection, Heat, Heat transfer, Parameter estimation, Specific heat, Temperature, Thermal properties, Uncertainty

Proceedings Papers

The Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

A. F. Emery, D. Bardot

Proc. ASME. HT2005, Heat Transfer: Volume 1, 149-156, July 17–22, 2005

Publisher: American Society of Mechanical Engineers

Paper No: HT2005-72287

https://doi.org/10.1115/HT2005-72287

View Paper titled, The Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

Topics: Heat transfer, Uncertainty, Response surface methodology, Construction, Design, Parameter estimation, Sensitivity analysis, Statistical distributions

Proceedings Papers

Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

A. F. Emery, D. Bardot

Proc. ASME. HT-FED2004, Volume 4, 171-178, July 11–15, 2004

Publisher: American Society of Mechanical Engineers

Paper No: HT-FED2004-56740

https://doi.org/10.1115/HT-FED2004-56740

View Paper titled, Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

Topics: Chaos, Cooling, Fins, Heat transfer, Polynomials, Transients (Dynamics)

Proceedings Papers

Parameter Estimation for Highly Nonlinear Models With Noisy Data

A. F. Emery, D. Bardot

Proc. ASME. HT2003, Heat Transfer: Volume 3, 739-748, July 21–23, 2003

Publisher: American Society of Mechanical Engineers

Paper No: HT2003-47193

https://doi.org/10.1115/HT2003-47193

View Paper titled, Parameter Estimation for Highly Nonlinear Models With Noisy Data

Topics: Parameter estimation, Noise (Sound), Inverse problems, Statistics, Temperature, Thermal properties, Thermal systems, Uncertainty

Proceedings Papers

The Use of Spatial Statistics and Nuisance Variables in Estimating Parameters for Validating Models and Predictions

A. F. Emery, D. Bardot

Proc. ASME. IMECE2003, Heat Transfer, Volume 1, 139-147, November 15–21, 2003

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2003-41602

https://doi.org/10.1115/IMECE2003-41602

View Paper titled, The Use of Spatial Statistics and Nuisance Variables in Estimating Parameters for Validating Models and Predictions

Topics: Parameter estimation, Statistics

Proceedings Papers

Computing Phase Change Front and Temperature Histories in Stochastic Media

A. F. Emery, D. Bardot

Proc. ASME. IMECE2004, Heat Transfer, Volume 1, 323-331, November 13–19, 2004

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2004-62067

https://doi.org/10.1115/IMECE2004-62067

View Paper titled, Computing Phase Change Front and Temperature Histories in Stochastic Media

Topics: Chaos, Polynomials, Temperature, Computation, Differential equations, Latent heat, Uncertainty

Proceedings Papers

Modeling the Response of a Transient Thermal System Using Gaussian Processes

A. F. Emery, D. Bardot

Proc. ASME. IMECE2005, Heat Transfer, Part B, 633-641, November 5–11, 2005

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2005-82029

https://doi.org/10.1115/IMECE2005-82029

View Paper titled, Modeling the Response of a Transient Thermal System Using Gaussian Processes

Topics: Modeling, Thermal systems, Transients (Dynamics), Uncertainty, Response surface methodology, Complex systems, Fittings, Parameter estimation

Journal Articles

Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

A. F. Emery, D. Bardot

Publisher: ASME

J. Heat Mass Transfer. August 2007, 129(8): 1075–1081.

https://doi.org/10.1115/1.2737478

Published Online: September 26, 2006

View Article titled, Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

Topics: Heat transfer, Response surface methodology, Uncertainty, Temperature, Design, Parameter estimation, Statistical distributions

Journal Articles

Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

A. F. Emery, D. Bardot

Publisher: ASME

J. Heat Mass Transfer. September 2007, 129(9): 1127–1133.

https://doi.org/10.1115/1.2739586

Published Online: September 19, 2006

View Article titled, Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

Topics: Chaos, Cooling, Heat transfer, Polynomials, Stochastic processes, White noise, Transients (Dynamics)

Journal citation

NARROW

Predicting Thermal System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Hierarchical Bayesian Inference

Predicting System Performance and Estimating Parameters for Systems Burdened With Uncertainties and Noise Using Bayesian Inference

Estimating the Thermal Properties of a Calorimeter Using Hierarchical Bayesian Inference With MCMC

The Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

Parameter Estimation for Highly Nonlinear Models With Noisy Data

The Use of Spatial Statistics and Nuisance Variables in Estimating Parameters for Validating Models and Predictions

Computing Phase Change Front and Temperature Histories in Stochastic Media

Modeling the Response of a Transient Thermal System Using Gaussian Processes

Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes

Stochastic Heat Transfer in Fins and Transient Cooling Using Polynomial Chaos and Wick Products

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