Choosing an optimal model for failure data analysis by graphical approach

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• 作者：Tieling Zhang ; ^{zhangtling@yahoo.com} ; ^{tieling@uow.edu.au} ; Richard Dwight ^{radwight@uow.edu.au}
• 关键词：Weibull models ; Failure data analysis ; Model selection ; Parameter estimation ; Weibull probability paper
• 刊名：Reliability Engineering and System Safety
• 出版年：2013
• 出版时间：July, 2013
• 年：2013
• 卷：115
• 期：Complete
• 页码：111-123
• 全文大小：1052 K

文摘

Many models involving combination of multiple Weibull distributions, modification of Weibull distribution or extension of its modified ones, etc. have been developed to model a given set of failure data. The application of these models to modeling a given data set can be based on plotting the data on Weibull probability paper (WPP). Of them, two or more models are appropriate to model one typical shape of the fitting plot, whereas a specific model may be fit for analyzing different shapes of the plots. Hence, a problem arises, that is how to choose an optimal model for a given data set and how to model the data. The motivation of this paper is to address this issue.

This paper summarizes the characteristics of Weibull-related models with more than three parameters including sectional models involving two or three Weibull distributions, competing risk model and mixed Weibull model. The models as discussed in this present paper are appropriate to model the data of which the shapes of plots on WPP can be concave, convex, S-shaped or inversely S-shaped. Then, the method for model selection is proposed, which is based on the shapes of the fitting plots. The main procedure for parameter estimation of the models is described accordingly. In addition, the range of data plots on WPP is clearly highlighted from the practical point of view. To note this is important as mathematical analysis of a model with neglecting the applicable range of the model plot will incur discrepancy or big errors in model selection and parameter estimates.