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A Markov chains prognostics framework for complex degradation processes
ArticleAbstract: This paper presents a prognostics methodology to deal with complex degradation processes for which cPalabras claves:Damage prognostics, Markov chains, Remaining useful life, Sequential pbkp_rediction, Time-dependent reliabilityAutores:Jalón M.L., Juan Chiachío, Kolios A., Ruano M.C.Fuentes:scopusA knowledge-based prognostics framework for railway track geometry degradation
ArticleAbstract: This paper proposes a paradigm shift to the problem of infrastructure asset management modelling byPalabras claves:Particle filtering, Physics-based modelling, Prognostics, Railway track degradationAutores:Andrews J., Juan Chiachío, Prescott D., Ruano M.C.Fuentes:scopusA new algorithm for prognostics using Subset Simulation
ArticleAbstract: This work presents an efficient computational framework for prognostics by combining the particle fiPalabras claves:Prognostics, Rare events, Stochastic modeling, Subset simulationAutores:Andrews J., Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S.Fuentes:scopusCondition-based pbkp_rediction of time-dependent reliability in composites
ArticleAbstract: This paper presents a reliability-based pbkp_rediction methodology to obtain the remaining useful liPalabras claves:COMPOSITES, fatigue, Model-based prognostics, Time-dependent reliabilityAutores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusReduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation
ArticleAbstract: The accurate modeling of engineering systems and processes using Petri nets often results in complexPalabras claves:Approximate Bayesian Computation, Bayesian inference, Maintenance models, Model similarity, Petri netsAutores:Andrews J., Juan Chiachío, Naybour S., Ruano M.C., Saleh A.Fuentes:scopus