Stochastic framework for partially degradation systems with continuous component degradation-rate-interactions
Author:
Affiliation:
1. Industrial and Systems Engineering Department; Mississippi State University; MS 39762
2. H. Milton Stewart School of Industrial and Systems Engineering; Georgia Institute of Technology; Atlanta GA 30332
Publisher
Wiley
Subject
Management Science and Operations Research,Ocean Engineering,Modelling and Simulation
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/nav.21583/fullpdf
Reference46 articles.
1. Preventive replacement in systems with dependent components;Albin;IEEE Trans Rel,1992
2. A maintenance policy for two-unit parallel systems based on imperfect monitoring information;Barros;Rel Eng Syst Saf,2006
3. A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss-Markov;Benedetto;J Comput Appl Math,2013
4. Statistical Decision Theory and Bayesian Analysis
5. Stochastic modeling and real-time prognostics for multi-component systems with degradation-rate-interactions;Bian;IIE Trans,2014
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