System Reliability Based on System Wear

DOI10.1080/15326340500481713zbMath1111.62097OpenAlexW1994911388MaRDI QIDQ3444691

Nader Ebrahimi

Publication date: 4 June 2007

Published in: Stochastic Models (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15326340500481713

zbMATH Keywords

transition densitysurvival functionmaximum likelihood methodLévy measureNBUgamma processwear processinfinitesimal killing rate

Mathematics Subject Classification ID

Processes with independent increments; Lévy processes (60G51) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Signal detection and filtering (aspects of stochastic processes) (60G35) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (3)

Reliability of manufacturing equipment in~complex~environments ⋮ Performance evaluation of two Markovian retrial queueing model with balking and feedback ⋮ On a Markov‐modulated shock and wear process

Cites Work

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• Survival in dynamic environments
• Failure inference from a marker process based on a bivariate Wiener model
• Effects of unobserved and partially observed covariate processes on system failure: A review of models and estimation strategies
• Some remarks on failure-times, surrogate markers, degradation, wear, and the quality of life
• A survey of product-integration with a view toward application in survival analysis

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