Design criteria evaluation using and reliability test improvement based field test data on statistical analysis

Abstract

This paper presents the reliability analysis of start/stop (S/S) cycles of domestic heat pump and air conditioning (HP/AC) applications in United States. The statistical analysis has been done on the field test data in different climate regions; the design criteria, durability, and reliability of the products can be established based upon the results of the analysis. The reliability demonstration test is used based on Weibull/Weibayes methods, which provides the relationship between sample size, test duration and reliability requirements. Applying the analytical and statistical approaches can reduce the engineering, and laboratory costs as well as establishing better criteria for components design. It was concluded that for a given reliability level the test duration can be reduced by increasing the sample size and vice versa.