A novel approach to equipment health management based on auto-regressive hidden semi-Markov model (AR-HSMM)

DOI10.1007/s11432-008-0111-4zbMath1172.62332OpenAlexW2124285799MaRDI QIDQ948512

Ming Dong

Publication date: 16 October 2008

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-008-0111-4

zbMATH Keywords

Markov modeldiagnosisprognosisauto-regressive hidden semi-Markov model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Inference from stochastic processes (62M99)

Related Items (2)

A model to partly but reliably distinguish DDOS flood traffic from aggregated one ⋮ Hidden semi-Markov models

Cites Work

• Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
• HMMs for diagnostics and prognostics in machining processes

This page was built for publication: A novel approach to equipment health management based on auto-regressive hidden semi-Markov model (AR-HSMM)