Correlating the accelerated test life of an automotive component with its field life

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dc.contributor.advisor Ali, Mir M. en_US Brutchen, George W. en_US 2011-06-03T19:40:24Z 2011-06-03T19:40:24Z 2004 en_US 2004
dc.identifier LD2489.Z72 2004 .B78 en_US
dc.description.abstract Since new product designs have little field data available a correlation between field and accelerated test life cannot be made. However, a step partially accelerated life test approach where samples are tested under normal conditions for a time and then run to failure on an accelerated test can be used to estimate the statistical model parameters. This thesis developed the maximum likelihood parameter estimates for a step partially accelerated life test based on a Weibull distribution model for a hypothetical automotive component. Using a Monte Carlo approach with type-II censoring, the effect of sample size and length of sampling period used on the variability of the estimated parameters was examined. A smaller sampling period and small sizes lead to significant variability, which decreased as the sampling period and sample size increased. Use of a partitioned sample did not lead to an improvement in the variability of the estimates.
dc.description.sponsorship Department of Mathematical Sciences
dc.format.extent ix, 57 leaves : ill. ; 28 cm. en_US
dc.source Virtual Press en_US
dc.subject.lcsh Accelerated life testing -- Statistical methods. en_US
dc.subject.lcsh Automobiles -- Parts -- Testing -- Statistical methods. en_US
dc.title Correlating the accelerated test life of an automotive component with its field life en_US Thesis (M.A.)
dc.identifier.cardcat-url en_US

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  • Master's Theses [5510]
    Master's theses submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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