Estimating remaining useful life for degrading systems with large fluctuations

DOI10.1155/2018/9182783zbMath1407.90127OpenAlexW2801080533MaRDI QIDQ1629596

Xiao-Sheng Si, Jian-Xun Zhang, Zhi-Jie Zhou, Dang-Bo Du, Chang-Hua Hu

Publication date: 12 December 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/9182783

zbMATH Keywords

stochastic processprobability density functionlife predictiondegradation trajectoryWiener procerss

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Reliability, availability, maintenance, inspection in operations research (90B25)

Uses Software

• System Identification Toolbox

Cites Work

• Unnamed Item
• System identification of nonlinear state-space models
• A two-stage prognosis model in condition based maintenance
• On the convergence properties of the EM algorithm
• A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution
• Maximum likelihood estimation via the ECM algorithm: A general framework
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Determination of burn-in parameters and residual life for highly reliable products

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