Storage Life Prediction for a High-Performance Capacitor Using Multi-Phase Wiener Degradation Model

DOI10.1080/03610918.2011.624241zbMath1270.62157OpenAlexW1964351657MaRDI QIDQ3168348

Jing Feng, Tongdan Jin, Quan Sun

Publication date: 30 October 2012

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.624241

zbMATH Keywords

path modelperformance degradationhigh-voltage-pulse capacitoridentification of change pointsmulti-phase Wiener process

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of statistics to physics (62P35)

Related Items (3)

Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods ⋮ A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing ⋮ Real-time reliability evaluation of two-phase Wiener degradation process

Cites Work

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• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• Inference from accelerated degradation and failure data based on Gaussian process models
• Maximum likelihood estimation in hazard rate models with a change-point
• Statistical Inference of a Time-to-Failure Distribution Derived from Linear Degradation Data
• On modelling data from degradation sample paths over time
• ON CHANGE POINT DETECTION AND ESTIMATION
• Estimation in change-point hazard rate models
• Strong consistency of the maximum likelihood estimators in the change-point hazard bate model
• Estimation in degradation models with explanatory variables

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