Inverse Gaussian process based reliability analysis for constant-stress accelerated degradation data

DOI10.1016/j.apm.2021.12.003zbMath1505.62509OpenAlexW4200424464MaRDI QIDQ2109872

Peihua Jiang, Bing Xing Wang, Zong-hao Zhou, Xiao-Fei Wang

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2021.12.003

zbMATH Keywords

inverse Gaussian processgeneralized pivotal quantitygeneralized confidence intervalaccelerated degradation testinggeneralized prediction interval

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Uses Software

• SPLIDA

Cites Work

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• Optimal plan for Wiener constant-stress accelerated degradation model
• Inference for constant-stress accelerated degradation test based on gamma process
• Objective Bayesian analysis for the accelerated degradation model based on the inverse Gaussian process
• A review of accelerated test models
• Optimum step-stress accelerated degradation test for Wiener degradation process under constraints
• Optimal design of accelerated degradation tests based on Wiener process models

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