Optimal Designs for Gamma Degradation Tests

TL;DR

This paper develops an analytical framework for optimal gamma degradation test designs, including both periodic and aperiodic inspection schedules, to improve reliability estimation efficiency.

Contribution

It introduces a novel analytical approach for designing gamma degradation tests with optimal inspection schedules, extending to aperiodic inspections, unlike prior numerical or fixed-parameter methods.

Findings

Periodic inspection designs are less efficient than aperiodic ones.

Optimal aperiodic inspection times significantly improve test efficiency.

The methods are validated through practical examples.

Abstract

This paper analytically investigates the optimal design of gamma degradation tests, including the number of test units, the number of inspections, and inspection times. We first derive optimal designs with periodic inspection times under various scenarios. Unlike previous studies that typically rely on numerical methods or fix certain design parameters, our approach provides an analytical framework to determine optimal designs. In addition, the results are directly applicable to destructive degradation tests when number of inspection is one. The investigation is then extended to designs with aperiodic inspection times, a topic that has not been thoroughly explored in the existing literature. Interestingly, we show that designs with periodic inspection times are the least efficient. We then derive the optimal aperiodic inspection times and the corresponding optimal designs under two cost constraints. Finally, two examples are presented to validate the proposed methods and demonstrate their efficiency in improving reliability estimation.