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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants

Hutchison, Kenneth and Quigley, John and Raza, M. and Walls, L.A. (2008) Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants. In: IEEE International Conference on Industrial Engineering and Engineering Management, 2008. International Conference on Industrial Engineering and Engineering Management IEEM, 1-3 . IEEE, pp. 1359-1364. ISBN 9781424426294

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Abstract

Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better estimates of reliability and availability. Frequentist estimation methods can be poor when few, or no, events occur even when equipment operate for long periods. An alternative approach based upon empirical Bayes estimation is proposed. The new method is applied to failure data analysis in power generation plants and found to provide credible insights. A statistical comparison between the proposed and frequentist methods shows that empirical Bayes is capable of generating more accurate estimates.