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Reliability Modelling for the Scheduling of Plant Work in Majority Vote Mode

Reliability Modelling for the Scheduling of Plant Work in Majority Vote Mode Downtime data have been acquired from a 1980 MW capacity coalfired power station. These data refer to a pulverised fuel system which comprises ten mills, each of which, for the purpose of reliability analysis, has six sets of components liable to failure. The majority voting of the mills was a sevenoutoften system. Individual unit failure patterns are determined using a family of exponential models and are used to provide total group reliability patterns, and a computerised alogorithm for analysis of the voting system is developed. A methodology for scheduling majority vote equipment working with nonsymmetrical overhaul downtimes is presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Reliability Modelling for the Scheduling of Plant Work in Majority Vote Mode

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References (2)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0265-671X
DOI
10.1108/eb002861
Publisher site
See Article on Publisher Site

Abstract

Downtime data have been acquired from a 1980 MW capacity coalfired power station. These data refer to a pulverised fuel system which comprises ten mills, each of which, for the purpose of reliability analysis, has six sets of components liable to failure. The majority voting of the mills was a sevenoutoften system. Individual unit failure patterns are determined using a family of exponential models and are used to provide total group reliability patterns, and a computerised alogorithm for analysis of the voting system is developed. A methodology for scheduling majority vote equipment working with nonsymmetrical overhaul downtimes is presented.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Feb 1, 1986

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