Published Online: 2 April 2009
Page Count: 5
McCool, John I.
Professor of Systems Engineering, Penn State Great Valley, Malvern, PA
(Received 21 April 2008; accepted 1 March 2009)
Sudden Death Testing is a strategy for conducting life tests in which n specimens are divided into g groups each of size m (n=gm). Testing continues simultaneously on the specimens in each group until the first failure occurs in each. The testing thus results in g failures among the n specimens. It is shown how to determine the group size m so that the pth percentile of the Weibull distribution of life may be estimated with greater precision than in a conventional life test wherein n specimens are tested until the occurrence of the gth failure. Comparisons of the expected duration of the life tests in both cases are given for two combinations of g and m for four values of the Weibull shape parameter.
Paper ID: JTE101825