| Nome |
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Fatigue crack growth identification in bonded joints by using carbon nanotube doped adhesive films, file e0c31c0f-920b-4599-e053-1705fe0aef77
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267
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Real-time prognosis of crack growth evolution using sequential Monte Carlo methods and statistical model parameters, file e0c31c0e-aa01-4599-e053-1705fe0aef77
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226
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Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks, file e0c31c10-08f0-4599-e053-1705fe0aef77
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225
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State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters, file e0c31c11-6355-4599-e053-1705fe0aef77
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211
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Anti-icing and de-icing coatings based Joule's heating of graphene nanoplatelets, file e0c31c11-7b12-4599-e053-1705fe0aef77
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188
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Strain wave acquisition by a fiber optic coherent sensor for impact monitoring, file e0c31c0b-414f-4599-e053-1705fe0aef77
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177
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Application of sensor technologies for local and distributed structural health monitoring, file e0c31c0d-c02f-4599-e053-1705fe0aef77
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156
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Compression after impact test (CAI) on NOMEX™ honeycomb sandwich panels with thin aluminum skins, file e0c31c0d-a83e-4599-e053-1705fe0aef77
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148
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A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network, file e0c31c0d-6fff-4599-e053-1705fe0aef77
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126
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Definition of a load adaptive baseline by inverse finite element method for structural damage identification, file e0c31c11-6359-4599-e053-1705fe0aef77
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120
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Analysis of a Helicopter Main Gearbox by means of Numerical Modelling approach, file e0c31c0c-420a-4599-e053-1705fe0aef77
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116
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Robust identification of strain waves due to low-velocity impact with different impactor stiffness, file e0c31c0d-e787-4599-e053-1705fe0aef77
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95
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Analytical Model to Describe Damage in CFRP Specimen When Subjected to Low Velocity Impacts, file e0c31c0a-518a-4599-e053-1705fe0aef77
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90
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Particle filter-based delamination shape prediction in composites subjected to fatigue loading, file 644b397d-3150-4c31-a504-5c9e48374c76
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88
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Optimization of nonlinear, non-Gaussian Bayesian filtering for diagnosis and prognosis of monotonic degradation processes, file e0c31c11-8ee4-4599-e053-1705fe0aef77
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84
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On the performance of a cointegration-based approach for novelty detection in realistic fatigue crack growth scenarios, file e0c31c11-54fc-4599-e053-1705fe0aef77
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80
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On Dynamic State-Space models for fatigue-induced structural degradation, file e0c31c0d-7209-4599-e053-1705fe0aef77
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77
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Particle filter-based hybrid damage prognosis considering measurement bias, file e0c31c12-2e9d-4599-e053-1705fe0aef77
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64
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Sequential Monte-Carlo sampling based on a committee of artificial neural networks for posterior state estimation and residual lifetime prediction, file e0c31c11-b6ba-4599-e053-1705fe0aef77
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61
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Investigation on low velocity impact damage identification with ultrasonic techniques under different sensor network conditions, file e0c31c10-b09a-4599-e053-1705fe0aef77
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57
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Complex geometry strain sensors based on 3d printed nanocomposites: Spring, three-column device and footstep-sensing platform, file e0c31c12-8e89-4599-e053-1705fe0aef77
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57
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Shape sensing of a complex aeronautical structure with inverse finite element method, file e0c31c10-c48f-4599-e053-1705fe0aef77
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49
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On the evaluation of a coupled sequential approach for rotorcraft landing simulation, file e0c31c10-beec-4599-e053-1705fe0aef77
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37
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Particle filter-based hybrid damage prognosis considering bias, file e0c31c12-3255-4599-e053-1705fe0aef77
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29
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Enhanced tensile strength, fracture toughness and piezoresistive performances of CNT based epoxy nanocomposites using toroidal stirring assisted ultra-sonication, file e0c31c12-79b7-4599-e053-1705fe0aef77
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24
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A method for determining the distribution of carbon nanotubes in nanocomposites by electric conductivity, file af0ae1ad-d48e-4ae9-a95b-e29235c908aa
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11
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A model-based SHM strategy for gears-development of a hybrid FEM-analytical approach to investigate the effects of surface fatigue on the vibrational spectra of a back-to-back test rig, file e0c31c12-5d02-4599-e053-1705fe0aef77
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11
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Experimental and Numerical Study of the Influence of Pre-Existing Impact Damage on the Low-Velocity Impact Response of CFRP Panels, file 759a74d1-06cf-44f2-a25a-7b2df059426b
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8
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On Dynamic State-Space models for fatigue-induced structural degradation, file e0c31c08-ab6f-4599-e053-1705fe0aef77
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5
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Sequential Monte-Carlo sampling based on a committee of artificial neural networks for posterior state estimation and residual lifetime prediction, file e0c31c08-d66c-4599-e053-1705fe0aef77
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5
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Application of sensor technologies for local and distributed structural health monitoring, file e0c31c08-2687-4599-e053-1705fe0aef77
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4
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Compression after impact test (CAI) on NOMEX™ honeycomb sandwich panels with thin aluminum skins, file e0c31c08-b5ea-4599-e053-1705fe0aef77
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4
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Optimization of nonlinear, non-Gaussian Bayesian filtering for diagnosis and prognosis of monotonic degradation processes, file e0c31c0c-22e7-4599-e053-1705fe0aef77
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4
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Adaptive training of neural networks by a particle filter for prognosis of damaged structures, file e0c31c0e-521e-4599-e053-1705fe0aef77
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4
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Numerical study of static and dynamic fracture behaviours of neat epoxy resin, file e0c31c0f-f2a1-4599-e053-1705fe0aef77
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4
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A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network, file e0c31c08-b65b-4599-e053-1705fe0aef77
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3
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Real-time prognosis of crack growth evolution using sequential Monte Carlo methods and statistical model parameters, file e0c31c09-5938-4599-e053-1705fe0aef77
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3
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Anti-icing and de-icing coatings based Joule's heating of graphene nanoplatelets, file e0c31c0c-c52d-4599-e053-1705fe0aef77
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3
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Strain and crack growth sensing capability of SWCNT reinforced epoxy in tensile and mode I fracture tests, file e0c31c10-0382-4599-e053-1705fe0aef77
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3
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Particle filter-based damage prognosis using online feature fusion and selection, file c6b5ea66-d2e6-470d-b27c-a5bd7525b742
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2
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Sequential Monte Carlo sampling for crack growth prediction providing for several uncertainties, file e0c31c08-b659-4599-e053-1705fe0aef77
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2
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Performance qualification for a structural health monitoring system aimed to fatigue crack diagnosis on helicopter fuselage, file e0c31c08-b65a-4599-e053-1705fe0aef77
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2
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Real-time prognosis of random loaded structures via Bayesian filtering: A preliminary discussion, file e0c31c08-dcc0-4599-e053-1705fe0aef77
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2
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Crack propagation monitoring on bonded joints with novel carbon nanotube doped adhesive films, file e0c31c0b-79cf-4599-e053-1705fe0aef77
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2
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Analytical model of the dynamic behaviour of CFRP plates subjected to low-velocity impacts, file e0c31c0b-cbdb-4599-e053-1705fe0aef77
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2
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A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination, file e0c31c0c-22e9-4599-e053-1705fe0aef77
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2
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Definition of a load adaptive baseline by inverse finite element method for structural damage identification, file e0c31c0c-c52f-4599-e053-1705fe0aef77
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2
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Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter, file e0c31c10-8c69-4599-e053-1705fe0aef77
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2
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On statistical Multi-Objective optimization of sensor networks and optimal detector derivation for structural health monitoring, file e0c31c12-5d00-4599-e053-1705fe0aef77
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2
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Towards Automatic Crack Size Estimation with iFEM for Structural Health Monitoring, file 55d81909-45cd-41bb-bb8c-a3ceb46dffe8
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1
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On statistical Multi-Objective optimization of sensor networks and optimal detector derivation for structural health monitoring, file b49d56f6-7e92-47a0-860f-161ed0085582
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1
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Condition Based Maintenance: a methodology for the economicalfeasibility evaluation of Prognostic Health Management integration, file e0c31c07-ed83-4599-e053-1705fe0aef77
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1
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SHM System Based on ANN for Aeronautical Applications, file e0c31c08-22d4-4599-e053-1705fe0aef77
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1
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Continuous crack growth monitoring and residual life prediction under variable- Amplitude loading conditions, file e0c31c08-aac9-4599-e053-1705fe0aef77
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1
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DIAGNOSI DI IMPATTI A BASSA VELOCITA’ SU PANNELLI SANDWICH, file e0c31c08-b352-4599-e053-1705fe0aef77
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1
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Real- Time sequential monte carlo sampling based on a committee of artificial neural networks for residual lifetime prediction of a component subjected to fatigue crack growth, file e0c31c08-b5eb-4599-e053-1705fe0aef77
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1
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Fatigue Crack Growth in structures under random spectrum loading: Markov chain Monte Carlo methods for parameter identification, file e0c31c08-b61f-4599-e053-1705fe0aef77
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1
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Performance qualification of an on-board model-based diagnostic system for fatigue crack monitoring, file e0c31c09-5818-4599-e053-1705fe0aef77
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1
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Compression after impact (CAI) test on CFRP panels with embedded FBG sensors, file e0c31c0a-5264-4599-e053-1705fe0aef77
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1
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Impact on CFRP panel with embedded FBG sensors, file e0c31c0a-52a4-4599-e053-1705fe0aef77
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1
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Optimization of an artificial neural network for fatigue damage identification using analysis of variance, file e0c31c0a-5633-4599-e053-1705fe0aef77
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1
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Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks, file e0c31c0a-5a18-4599-e053-1705fe0aef77
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1
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On the dynamic acquisition of electrical signals for structural health monitoring of carbon nanotube doped composites, file e0c31c0b-85cd-4599-e053-1705fe0aef77
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1
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State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters, file e0c31c0d-ee6d-4599-e053-1705fe0aef77
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1
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IMPACT DAMAGE IDENTIFICATION IN A COMPOSITE STRUCTURE BY SURROGATE MODELLING AND MARKOV-CHAIN MONTE-CARLO METHOD, file e0c31c0e-7573-4599-e053-1705fe0aef77
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1
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ANOMALY IDENTIFICATION IN MECHANICAL STRUCTURES EXPLOITING THE INVERSE FINITE ELEMENT METHOD, file e0c31c0e-9e79-4599-e053-1705fe0aef77
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1
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A combined framework for automated diagnosis and prognosis based on surrogate modelling and a particle filter, file e0c31c0e-9e81-4599-e053-1705fe0aef77
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1
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An experimental and numerical investigation of highly strong and tough epoxy based nanocomposite by addition of MWCNTs: Tensile and mode I fracture tests, file e0c31c10-0291-4599-e053-1705fe0aef77
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1
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Numerical and experimental verification of an inverse-direct approach for load and strain monitoring in aeronautical structures, file e0c31c10-831b-4599-e053-1705fe0aef77
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1
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Piezoresistive characterization of epoxy based nanocomposites loaded with SWCNTs-DWCNTs in tensile and fracture tests, file e0c31c10-89af-4599-e053-1705fe0aef77
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1
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Causal dilated convolutional neural networks for automatic inspection of ultrasonic signals in non-destructive evaluation and structural health monitoring, file e0c31c10-90bc-4599-e053-1705fe0aef77
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1
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Comparison of strain pre-extrapolation techniques for shape and strain sensing by iFEM of a composite plate subjected to compression buckling, file e0c31c10-a33f-4599-e053-1705fe0aef77
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1
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Synergistic effects of double-walled carbon nanotubes and nanoclays on mechanical, electrical and piezoresistive properties of epoxy based nanocomposites, file e0c31c10-a786-4599-e053-1705fe0aef77
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1
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Effective addition of nanoclay in enhancement of mechanical and electromechanical properties of SWCNT reinforced epoxy: Strain sensing and crack-induced piezoresistivity, file e0c31c10-a78e-4599-e053-1705fe0aef77
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1
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Shape Sensing with Inverse Finite Element Method on a Composite Plate Under Compression Buckling, file e0c31c10-af12-4599-e053-1705fe0aef77
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1
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Damage diagnosis and prognosis in composite double cantilever beam coupons by particle filtering and surrogate modelling, file e0c31c10-af14-4599-e053-1705fe0aef77
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1
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Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions, file e0c31c10-c48d-4599-e053-1705fe0aef77
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1
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A comparative study of the incorporation effect of SWCNT-OH and DWCNT with varied microstructural defects on tensile and impact strengths of epoxy based nanocomposite, file e0c31c10-e0bf-4599-e053-1705fe0aef77
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1
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On the mitigation of the RAPID algorithm uneven sensing network issue employing averaging and Gaussian blur filtering techniques, file e0c31c11-f298-4599-e053-1705fe0aef77
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1
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Neutralization of temperature effects in damage diagnosis of MDOF systems by combinations of autoencoders and particle filters, file e0c31c12-05f8-4599-e053-1705fe0aef77
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1
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Dual crack growth prognosis by using a mixture proposal particle filter and on-line crack monitoring, file e0c31c12-8e87-4599-e053-1705fe0aef77
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1
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An interactive damage progression model for cross-ply laminates subject to fatigue load cycles, file e0c31c12-96ec-4599-e053-1705fe0aef77
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1
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Numerical and experimental flight verifications of a calibration matrix approach for load monitoring and temperature reconstruction and compensation, file e0c31c12-96ee-4599-e053-1705fe0aef77
|
1
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| Totale |
2.978 |