Mostrando 5 resultados de: 5
Filtros aplicados
Subtipo de publicación
Article(5)
Área temáticas
Ingeniería y operaciones afines(2)
Ciencias de la computación(1)
Física aplicada(1)
Ingeniería de ferrocarriles y carreteras(1)
Ingeniería sanitaria(1)
Área de conocimiento
Optimización matemática(2)
Algoritmo(1)
Ciencia de materiales(1)
Ciencias de la computación(1)
Material compuesto(1)
Objetivos de Desarrollo Sostenible
ODS 8: Trabajo decente y crecimiento económico(5)
ODS 9: Industria, innovación e infraestructura(5)
ODS 12: Producción y consumo responsables(4)
ODS 11: Ciudades y comunidades sostenibles(1)
Origen
scopus(5)
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 prediction of time-dependent reliability in composites
ArticleAbstract: This paper presents a reliability-based prediction methodology to obtain the remaining useful life oPalabras 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