Username   Password       Forgot your password?  Forgot your username? 

 

Bayes Linear Bayes Graphical Models in the Design of Optimal Test Strategies

Volume 9, Number 6, November 2013 - Paper 12- pp. 715-728

KEVIN J. WILSON, JOHN QUIGLEY, TIM BEDFORD and LESLEY WALLS

Department of Management Science, University of Strathclyde, U.K.

(Received on April 10, 2013, revised on May 08, and June 11, 2013)

Abstract:

Test and analysis plays a vital role in reducing uncertainty about the true performance of an engineering system. However tests can be expensive and designing an optimal test strategy can be challenging. We propose a Bayesian modelling process, which takes the form of a Bayesian Network, to determine anticipated test efficacy. Such a model supports engineering managers in assessing trade-offs between test resources and uncertainty reduction. Inference based on a full Bayesian model can be computationally demanding to the extent that it can limit practical application. To overcome this constraint, we develop a Bayes linear approximation for inference. This approach is known as a Bayes linear Bayes graphical model. After explaining the key principles of the method, we provide an application to a real industrial test to establish the condition of an ageing engineering system.

 

References: 15

Click here to download the paper.

Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

 

 
This site uses encryption for transmitting your passwords. ratmilwebsolutions.com