Storage Reliability Estimation Method using Non-Repetitively Sampled, Accelerated Degradation Data in Quadratic Form

This paper proposes a storage reliability estimation method using degradation data in quadratic form that were obtained via destructive, accelerated degradation tests. The degradation data of interest tend to increase and then decrease over time, even though most of degradation data used in storage reliability estimations show simple, monotonically increasing or decreasing trends over time. This trend is modeled as a quadratic function; how to apply accelerated life models to the function, and how to estimate storage reliability under certain storage conditions using the function are addressed in the paper. To verify the proposed method, stochastic processes were generated to simulate the non-repetitively sampled, accelerated degradation data in quadratic form. The proposed method, and a method in open literature were applied to estimate storage reliability using the degradation data. Comparison of reliability estimation results shows the proposed method is more accurate.