Mostrando 10 resultados de: 58
Publisher
Reliability Engineering and System Safety(5)
Engineering Applications of Artificial Intelligence(3)
Mechanical Systems and Signal Processing(3)
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM(3)
Computer-Aided Civil and Infrastructure Engineering(2)
Área temáticas
Ingeniería y operaciones afines(30)
Física aplicada(15)
Ciencias de la computación(9)
Métodos informáticos especiales(7)
Ingeniería civil(4)
Área de conocimiento
Material compuesto(17)
Optimización matemática(13)
Ciencia de materiales(9)
Ciencias de la computación(5)
Algoritmo(4)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(58)
ODS 12: Producción y consumo responsables(36)
ODS 8: Trabajo decente y crecimiento económico(33)
ODS 17: Alianzas para lograr los objetivos(14)
ODS 11: Ciudades y comunidades sostenibles(13)
Origen
scopus(58)
A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media
ArticleAbstract: The prediction of water table height in unconfined layered porous media is a difficult modelling proPalabras claves:Bayesian hypothesis testing, Dupuit–Forchheimer analysis, Layered porous media, Railway track drainageAutores:Juan Chiachío, Prescott D., Ruano M.C., Sankararaman S.Fuentes:scopusA Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing
ArticleAbstract: The increasing mechanical and economical demands in modern systems and structures are forcing an inePalabras claves:Artificial Neural Network, Bayesian inverse problem, Dissimilar joints, Lamb waves, Structural Health Monitoring, Surrogate modellingAutores:Fakih M.A., Juan Chiachío, Mustapha S., Ruano M.C.Fuentes:scopusA Bayesian time-of-flight estimation for ultrasonic damage detection
Conference ObjectAbstract: SHM methods for damage detection and localisation in plate-like structures have typically relied onPalabras claves:Autores:Cantero-Chinchilla S., de la Escalera F.M., Essa Y., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopusA 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 cross-sectoral review of the current and potential maintenance strategies for composite structures
ReviewAbstract: The interest in the use of composite materials in thin-walled structures has grown over the last decPalabras claves:Composite structures, Cyber-physical structures (CPS), Maintenance, Polymer–matrix composites (PMCs), Structural health monitoring (SHM)Autores:Contreras Lopez J., Juan Chiachío, Kolios A., Ruano M.C., Saleh A.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 methodology for railway track maintenance modelling using plausible petri nets
Conference ObjectAbstract: This paper proposes a new mathematical methodology to model expert systems with the ability to sequePalabras claves:Bayesian learning, Expert systems, Maintenance modelling, Plausible Petri netsAutores:Andrews J., Juan Chiachío, Prescott D., Ruano M.C.Fuentes:scopusA multilevel Bayesian method for ultrasound-based damage identification in composite laminates
ArticleAbstract: Estimating deterministic single-valued damage parameters when evaluating the actual health state ofPalabras claves:Bayesian inverse problem, Composite laminates, DIAGNOSTICS, UltrasoundAutores:Bochud N., Cantero-Chinchilla S., Juan Chiachío, Ruano M.C., Rus G.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:scopusA new paradigm for uncertain knowledge representation by Plausible Petri nets
ArticleAbstract: This paper presents a new model for Petri nets (PNs) which combines PN principles with the foundatioPalabras claves:Expert systems, information theory, Knowledge Representation, Petri netsAutores:Andrews J., Juan Chiachío, Prescott D., Ruano M.C.Fuentes:scopus