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Computational Methods for Polymers
| Computational Methods for Polymers |
| Autore | Soroush Masoud |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (320 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
rapid tooling
additive manufacturing failure modes injection molding modeling olefin gas phase kinetics hyperbranched Monte Carlo simulation radius of gyration span length continuous stirred-tank reactor data-driven parameter estimation retrospective cost model refinement algorithm global sensitivity analysis polyolefin synthesis olefin copolymerization reactivity ratios electronic effects salan catalysts post-metallocene DFT insertion kinetics olefin capture PolyEThyleneAmidoAmine (PETAA) dendrimer molecular topological indices Eccentric connectivity index copolymerization design of experiments reactivity ratio estimation terpolymerization PLP-SEC n-butyl acrylate degree of branching nanostar dendrimer irregularity measure complexity of structure NS1[p] NS2[p] NS3[p] subspace identification polymer processing model predictive control rotational molding batch process modeling and control method of moments free-radical polymerization methyl acrylate thermal polymerization high-temperature polymerization molecular graph irregularity indices dendrimers density functional theory inhibitors phenolic stable nitroxide radicals styrene polymerization RAFT polymerization multi-rate observer nonlinear sampled-data system measurements with delay parameter fitting droplet impact viscoelasticity volume of fluid method process intensification operability modularity process modeling and simulation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557486203321 |
Soroush Masoud
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Machinery Fault Diagnostics
| Deep Learning-Based Machinery Fault Diagnostics |
| Autore | Chen Hongtian |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (290 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
process monitoring
dynamics variable time lag dynamic autoregressive latent variables model sintering process hammerstein output-error systems auxiliary model multi-innovation identification theory fractional-order calculus theory canonical variate analysis disturbance detection power transmission system k-nearest neighbor analysis statistical local analysis intelligent fault diagnosis stacked pruning sparse denoising autoencoder convolutional neural network anti-noise flywheel fault diagnosis belief rule base fuzzy fault tree analysis Bayesian network evidential reasoning aluminum reduction process alumina concentration subspace identification distributed predictive control spatiotemporal feature fusion gated recurrent unit attention mechanism fault diagnosis evidential reasoning rule system modelling information transformation parameter optimization event-triggered control interval type-2 Takagi-Sugeno fuzzy model nonlinear networked systems filter gearbox fault diagnosis convolution fusion state identification PSO wavelet mutation LSSVM data-driven operational optimization case-based reasoning local outlier factor abnormal case removal bearing fault detection deep residual network data augmentation canonical correlation analysis just-in-time learning fault detection high-speed trains autonomous underwater vehicle thruster fault diagnostics fault tolerant control robust optimization ocean currents |
| ISBN | 3-0365-5174-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469103321 |
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Chen Hongtian
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling of Wind Turbines and Wind Farms
| Modeling of Wind Turbines and Wind Farms |
| Autore | Gomez-Lazaro Emilio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (488 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
bearing current
common mode current doubly fed induction generators permanent magnet synchronous generators wind turbine generator doubly-fed generator converter control short-circuit current second harmonic component low-voltage ride-through (LVRT) field test data complex terrain terrain-induced turbulence turbulence intensity LES vortex shedding frequency control wind power integration power system stability turbulence statistical modelling Wind Turbine (WT) Doubly Fed Induction Generator (DFIG) unbalanced grid voltage DC-linked voltage control Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller Adaptive Proportional Integral (API) control power control wind turbine near wake wind turbine wakes wake aerodynamics computational fluid dynamics rotor aerodynamics wind turbine validation MEXICO experiment wind energy model validation wind turbine aerodynamics wind farms wind turbines interaction wind farm modeling kernel density estimation multiple wind farms joint probability density ordinal optimization reactive power capability wind power plant wind power collection system aggregated, modelling wind integration studies long term voltage stability fault-ride through capability IEC 61400-27-1 Spanish PO 12.3 Type 3 wind turbine inertia wind power droop primary control frequency containment process wind integration demand response ancillary services wind turbine nacelle lightning electromagnetic pulse (LEMP) magnetic field intensity shielding mesh wake steering yaw misalignment multi body simulation main bearing loads rain flow counts aeroelasticity multi-rotor system wind turbine computational fluid dynamics (CFD) horizontal-axis wind turbine (HAWT) permanent-magnet synchronous-generator (PMSG) linear quadratic regulator (LQR) PI control algorithm LQR-PI control wind turbine blade large-eddy simulation turbulence evaluation index fatigue damage evaluation index DIgSILENT-PowerFactory MATLAB transient stability type 3 wind turbine DFIG field testing full-scale converter generic model validation HAWT aerodynamic characteristics dynamic yawing process near wake start-stop yaw velocity load frequency control (LFC) equivalent input disturbance (EID) active disturbance rejection control (ADRC) wind linear matrix inequalities (LMI) dynamic modeling grey-box parameter identification subspace identification recursive least squares optimal identification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557676703321 |
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Gomez-Lazaro Emilio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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