Online health management for complex nonlinear systems based on hidden semi-Markov model using sequential Monte Carlo methods
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Publication:1955403
DOI10.1155/2012/951584zbMath1264.90112OpenAlexW2013359620WikidataQ58912749 ScholiaQ58912749MaRDI QIDQ1955403
Publication date: 11 June 2013
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/951584
Monte Carlo methods (65C05) Reliability, availability, maintenance, inspection in operations research (90B25) Case-oriented studies in operations research (90B90)
Cites Work
- Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
- A two-stage prognosis model in condition based maintenance
- Fractal time series -- A tutorial review
- On the predictability of long-range dependent series
- A tutorial on nonlinear time-series data mining in engineering asset health and reliability prediction: concepts, models, and algorithms
- A model for real-time failure prognosis based on hidden Markov model and belief rule base
- Sequential Imputations and Bayesian Missing Data Problems
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