Adaptive Design and Inference for Step-Stress Accelerated Life Testing
David Han
First Author
University of Texas at San Antonio
David Han
Presenting Author
University of Texas at San Antonio
Tuesday, Aug 5: 2:05 PM - 2:20 PM
0903
Contributed Papers
Music City Center
The adaptive step-stress accelerated life test (ada-ssALT) was developed to address several practical shortcomings of the conventional simple step-stress ALT (ssALT). While ada-ssALT demonstrates superior performance over ssALT in terms of estimate bias and precision, particularly when the lifetime of experimental units follows an exponential distribution, the constant hazard function of the exponential model restricts its applicability in real-world scenarios. To overcome this limitation, the log-location-scale family, which includes widely used distributions such as Weibull, log-normal, and log-logistic, provides greater flexibility through the incorporation of a shape parameter. This study extends ada-ssALT to a generalized form, allowing the test unit's lifetime at each stress level to follow a log-location-scale distribution. Here we present the model formulation, maximum likelihood estimation, and derivation of the information matrix, assuming a linear relationship between the standardized stress level and the location parameter. A simulation study compares the performance of ada-ssALT with ssALT across various design criteria.
accelerated life tests
adaptive design
Fisher information
maximum likelihood estimator
step-stress loading
Type-I censoring
Main Sponsor
Quality and Productivity Section
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