Mostrando 10 resultados de: 15
Filtros aplicados
Publisher
Mechanical Systems and Signal Processing(2)
"Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021(1)
30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020(1)
9th European Workshop on Structural Health Monitoring, EWSHM 2018(1)
Composite Structures(1)
Área temáticas
Ingeniería y operaciones afines(7)
Métodos informáticos especiales(2)
Otras ramas de la ingeniería(2)
Tecnología (Ciencias aplicadas)(2)
Ciencias de la computación(1)
Área de conocimiento
Material compuesto(3)
Optimización matemática(3)
Algoritmo(2)
Energía renovable(2)
Aprendizaje automático(1)
Origen
scopus(15)
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: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 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 robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
ArticleAbstract: SHM methods for damage detection and localization in plate-like structures have typically relied onPalabras claves:Bayesian inverse problem, Damage localization, Multiple damage areas, Structural Health Monitoring, Time of flight, Ultrasonic guided-wavesAutores:Cantero-Chinchilla S., Chronopoulos D., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopusA sensitivity study for operational availability of offshore wind energy assets
Conference ObjectAbstract: The rampant growth of offshore wind energy in Europe and overseas is calling for advanced operationPalabras claves:availability, O&M, Offshore wind farms, Open-access tool, Sensitivity AnalysisAutores:Hermile M., Juan Chiachío, Kolios A.Fuentes:scopusOptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring
ArticleAbstract: This paper presents OptiSens, a computational platform in Python and Matlab, that provides optimal sPalabras claves:Cost–benefit optimization, Optimal sensor placement, Structural Health Monitoring, Ultrasonic guided-wavesAutores:Beck J.L., Cantero-Chinchilla S., Chronopoulos D., Juan Chiachío, Ruano M.C.Fuentes:scopusOptimized Petri Net Model for Condition-Based Maintenance of a Turbine Blade
Conference ObjectAbstract: Monitoring a structure’s health is important to avoid catastrophic failures and reduce operating cosPalabras claves:Autores:Juan Chiachío, Ruano M.C., Saleh A.Fuentes:scopusIntelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data
ArticleAbstract: A health indicator (HI) is a valuable index demonstrating the health level of an engineering systemPalabras claves:Composite structures, Intelligent health indicator, Prognostic and health management, Semi-supervised deep neural network, Structural Health MonitoringAutores:Benedictus R., Broer A., Juan Chiachío, Loutas T.H., Moradi M., Zarouchas D.Fuentes:scopus