Publication

A Design of Experiments based Method for the Characterisation of Solid Oxide Fuel Cells

Jan Van Herle
2010
Posters

Abstract

We apply a Design of Experiments methodology for Non-linear models on a simplified model for Solid Oxide Fuel Cells in order to define optimal measurement points. The behaviour of D-optimality criterion is studied as regards the number of measuring points and the number of total measurements.

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Jan Van Herle
2010
Posters

Abstract

Official source

Related concepts (30)

Optimal design

In the design of experiments, optimal designs (or optimum designs) are a class of experimental designs that are optimal with respect to some statistical criterion. The creation of this field of statistics has been credited to Danish statistician Kirstine Smith. In the design of experiments for estimating statistical models, optimal designs allow parameters to be estimated without bias and with minimum variance. A non-optimal design requires a greater number of experimental runs to estimate the parameters with the same precision as an optimal design.

Design of experiments

The design of experiments (DOE or DOX), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation. The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation.

Generalized linear model

In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value. Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear regression, logistic regression and Poisson regression.

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A Design of Experiments based Method for the Characterisation of Solid Oxide Fuel Cells

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