A Bayesian Hierarchical Power Law Process Model for Multiple Repairable Systems with an Application to Supercomputer Reliability

• Autores: Kenneth J. Ryan, Michael S. Hamada, C. Shane Reese
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 43, Nº. 3, 2011, págs. 209-223
• Idioma: inglés
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• Resumen

  • Hardware failure data from the Blue Mountain supercomputer are analyzed using nonhomogenous Poisson process models fitted using Markov chain Monte Carlo methods within a hierarchical Bayesian framework. A variety of simulations are used to compare time-truncated and failure-count designs and to evaluate hierarchical modeling of multiple repairable systems as compared to separate modeling of such systems.