Research on the Estimation Method of Accelerated Life Test Failure Time
This paper presents the interval median distribution estimation and exponential uniform distribution estimation,which is based on the original method of estimating the accelerated life test failure time from the conception of symmetry. We examined the characteristics and accuracy of each estimation method by theoretical analysis and Monte Carlo simulation. The results show that the new method has superiority in certain conditions. When the failure rate of the product is increasing,we use the exponential uniform distribution estimation. When the failure rate is decreasing,we use the logarithmic uniform distribution estimation. When the change is unknown,we use the equal interval estimation and interval estimation. These methods have high estimation precision. Therefore,in order to improve the accuracy of parameter estimation,we should choose the estimation method in failure time estimation of accelerated life test depending on products estimating failure types.
accelerated life testfailure timeestimation methodMonte Carlo
NETL
NSTL
万方数据
维普
