A General Accelerated Degradation Model Based on the Wiener Process.

Area of Science:

• Materials Science
• Reliability Engineering
• Statistical Modeling

Background:

• Accelerated degradation testing (ADT) is crucial for material reliability and safety assessments.
• Traditional models struggle with nonlinear degradation paths, limiting their applicability.
• Existing methods often assume linear degradation, failing to capture complex material behaviors.

Purpose of the Study:

• To propose a general accelerated degradation testing (ADT) model based on the Wiener process.
• To address the limitations of traditional models in analyzing nonlinear degradation data.
• To provide a robust framework for material service reliability and safety evaluations.

Main Methods:

• Developed a general Wiener process model for ADT data analysis.
• Incorporated unit-to-unit and temporal variations into the degradation model.
• Applied statistical inference for parameter estimation under constant and step stress conditions.

Main Results:

• The proposed general Wiener process model effectively analyzes both linear and nonlinear ADT data.
• The model accommodates single or multiple acceleration variables.
• Simulation and real-world applications confirmed reliable lifetime evaluation results.

Conclusions:

• The generalized Wiener process model offers a superior approach for ADT, especially for nonlinear degradation.
• This method enhances the accuracy of material service life predictions.
• The model provides a versatile tool for reliability and safety evaluations across various stress conditions.