Mostrando 10 resultados de: 49
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Reliability Engineering and System Safety(5)
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Emerging Design Solutions in Structural Health Monitoring Systems(2)
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scopus(49)
Bayesian model selection and parameter estimation for fatigue damage progression models in composites
ArticleAbstract: A Bayesian approach is presented for selecting the most probable model class among a set of damage mPalabras claves:Bayesian methods, COMPOSITES, Damage mechanics, fatigueAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Sankararaman S., Saxena A.Fuentes:scopusAn efficient algorithm to pbkp_redict the expected end-of-life in composites under fatigue conditions
Conference ObjectAbstract: This work presents an efficient computational framework for estimating the end of life (EOL) and remPalabras claves:fatigue damage, Model-based prognostics, Particle filters, Structural health managementAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Saxena A.Fuentes:scopusAn energy-based prognostic framework to pbkp_redict evolution of damage in composite materials
Book PartAbstract: This chapter describes damage prognosis techniques in the context of structural health monitoring foPalabras claves:COMPOSITES, fatigue, Filtering, pbkp_rediction, Prognostics, Remaining useful life (RUL), Structural health monitoring (SHM)Autores:Goebel K., Juan Chiachío, Ruano M.C., Saxena A.Fuentes:scopusAn information theoretic approach for knowledge representation using Petri nets
Conference ObjectAbstract: A new hybrid approach for Petri nets (PNs) is proposed in this paper by combining the PNs principlesPalabras claves:Expert systems, Knowledge Representation, Petri netsAutores:Andrews J., Juan Chiachío, Prescott D., Ruano M.C.Fuentes:scopusAn inverse-problem based stochastic approach to model the cumulative damage evolution of composites
Conference ObjectAbstract: Fibre-reinforced composites are often selected for high-responsibility structural applications due tPalabras claves:Composite laminates, Damage accumulation, Inverse Problem, Markov chains, Unitary-time-transformationAutores:Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusA Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media
ArticleAbstract: The pbkp_rediction of water table height in unconfined layered porous media is a difficult modellingPalabras 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:scopus