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Monitoring reliability for a three-parameter Weibull distribution
Date
2009-02-01
Author
Sürücü, Barış
SAZAK, HAKAN SAVAŞ
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Control charts are widely used to monitor production processes in the manufacturing industry and are also useful for monitoring reliability. A method to monitor reliability has recently been proposed when the distributions of inter-failure times are exponential and Weibull with known parameters. This method has also been extended to monitor the cumulative time elapsed between a fixed number of failures for the exponential distribution. In this paper, we consider a three-parameter Weibull distribution to model inter-failure times, use a robust estimation technique to estimate the unknown parameters, and extend the proposed method to monitor the cumulative time elapsed between r failures using the three-parameter Weibull distribution. Since the distribution of the sum of independent Weibull random variates is not known (except in specific cases with known parameters), we give two useful moment approximations to be able to apply their scheme. We show how effective the approximations are and the usefulness of the method in detecting a possible instability during production.
Subject Keywords
Industrial and Manufacturing Engineering
,
Safety, Risk, Reliability and Quality
URI
https://hdl.handle.net/11511/46223
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
DOI
https://doi.org/10.1016/j.ress.2008.06.001
Collections
Department of Statistics, Article