A new residual life prediction method for complex systems based on Wiener process and evidential reasoning

DOI10.1155/2018/9473526zbMath1407.90135OpenAlexW2799405719MaRDI QIDQ1629600

Bangcheng Zhang, Shuaiwen Tang, Taoyuan Liu, Xin Zhang

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/10.1155/2018/9473526

zbMATH Keywords

Bayesian methodprobability density functionlife predictionWiener procerss

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Reliability, availability, maintenance, inspection in operations research (90B25) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

A numerical method for system residual life prediction based on Simpson formula

Cites Work

• Evidential reasoning rule for evidence combination
• Wiener processes with random effects for degradation data
• Objective Bayesian analysis accelerated degradation test based on Wiener process models
• Global Asymptotic Stabilization of Nonlinear Deterministic Systems Using Wiener Processes
• Unbiased Minimum Variance Fault and State Estimation for Linear Discrete Time-Varying Two-Dimensional Systems

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