Tracking and Evaluation of Failure Process Progression in Test Objects

In the MATLAB environment, the Relevance Vector Machine (RVM) method is employed for tracking and predicting the failure process progression of test objects, utilizing machine learning-based probabilistic forecasting with sparse Bayesian modeling.