AN APPLICATION OF ESTIMATING CAPABILITY INDICES FOR FATIGUE LIFE DISTRIBUTION

There are variety of statistical distributions which cover most of the problem in reliability and time to event analysis. Birnbaum Saunders?s distribution popularly named as Fatigue Life model is commonly and extensively applied for those quality characteristics of measurements which are associated with high occurrences. In this paper an applicative example is illustrated for earlier presented data sets that exhibiting Fatigue measurements constituted by Fatigue failure time of 3034 aluminum coupons oscillated at 18 cycles per second under 3 different stress levels with the fact that varying stress level producing number of failures which make the process out of control. So an algorithm is defined to first transform fatigue measurements to standard normal, make the process statistically controlled and estimate capability indices for measurements exhibit Fatigue distribution. An algorithm is made in R-console.