Health assessment and prognostics based on higher‐order hidden semi‐Markov models

DOI10.1002/NAV.21947zbMath1523.60144arXiv2002.05272OpenAlexW3091723174MaRDI QIDQ6052549

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Publication date: 17 October 2023

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.05272

zbMATH Keywords

Gibbs sampling algorithmremaining useful lifeprognosticshigher-order hidden semi-Markov model

Mathematics Subject Classification ID

Medical applications (general) (92C50) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Hidden semi-Markov models
• Inference from iterative simulation using multiple sequences
• A hidden semi-Markov model with duration-dependent state transition probabilities for prognostics
• Hierarchical Dirichlet Processes
• A model to predict the residual life of aircraft engines based upon oil analysis data
• HMMs for diagnostics and prognostics in machining processes
• Bayesian Model Selection and Statistical Modeling

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