Mostrando 10 resultados de: 78
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Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM(3)
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scopus(78)
Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures
ArticleAbstract: This paper proposes the use of a physics-based Bayesian framework for the localization and identificPalabras claves:Bayesian inverse problem, Composite beams, Guided waves, Structural Health Monitoring, Ultrasound, Wave and finite element methodAutores:Cantero-Chinchilla S., Chronopoulos D., Juan Chiachío, Malik M.K.Fuentes:scopusBayesian 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:scopusBayesian structural parameter identification from ambient vibration in cultural heritage buildings: The case of the San Jerónimo monastery in Granada, Spain
ArticleAbstract: The deterioration of Cultural Heritage assets caused by the natural hazards is a pressing issue in mPalabras claves:Ambient vibration tests, Bayesian learning, Cultural heritage buildings, finite element models, Operational modal analysisAutores:Compán-Cardiel V., Gil-Martín L.M., Hernández-Montes E., Jalón M.L., Juan Chiachío, Rodríguez-Romero R., Víctor Compán-CardielFuentes:scopusAn efficient algorithm to predict 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 predict 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, PREDICTION, 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: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:scopusApproximate bayesian computation by subset simulation
ArticleAbstract: A new approximate Bayesian computation (ABC) algorithm for Bayesian updating of model parameters isPalabras claves:Approximate Bayesian Computation, Bayesian inverse problem, Subset simulationAutores:Beck J.L., 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 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:scopus