Zan Li
Nankai University
Title: Statistical Inference of Reliability for Lifetime Delayed Degradation Process with Heterogeneity
Abstract: In industrial statistics, degradation models constitute a fundamental class of methodologies for analyzing performance deterioration in engineering systems. These models find broad applications in characterizing various industrial reliability metrics, such as engine crack lengths or battery capacity. The present investigation focuses on a particular degradation mechanism - the lifetime delayed heterogeneous degradation process - which exhibits two distinctive features: (1) the initiation of performance deterioration occurs stochastically after an operational period, and (2) the subsequent degradation rate demonstrates dependence on the initial degradation onset time. First, we establish the theoretical framework for the lifetime delayed heterogeneous degradation process model and derive the corresponding reliability statistical inference procedures. Subsequently, we implement variational inference techniques for efficient parameter estimation and conduct comprehensive simulation studies to evaluate the performance of the statistical inference methodology.
Date: Wednesday, January 28, 2026, 3:30 PM, AUST 434
WebEx link: https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m242f9c21717951e9d1a2e147371172c5
Coffee will be available at 3:00 PM in the Noether Lounge (AUST 326)
For more information, contact: Yuwen Gu at yuwen.gu@uconn.edu