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Performance of Induction Machines
| Performance of Induction Machines |
| Autore | Palka Ryszard |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
LIM
slip frequency linear induction motor automatic train operation rotor field-oriented angle error indirect rotor field-oriented control induction machine drives model-based prediction linear induction motors finite element analysis end effect induction machines electrical machines thermal modeling soft magnetic material thermal conductivity induction motor solid rotor effective parameters finite element method modelling of ring induction motors Monte Carlo method accurate modelling induction machine electromagnetic models model selection optimization artificial neural networks pattern search evolutionary strategy simulated annealing artificial neural network fourth central moment homogeneity analysis induction motors mechanical unbalance one broken rotor bar outer-race bearing fault startup transient current two broken rotor bars three-phase induction motor squirrel-cage rotor energy efficiency motor performance dynamic model Matlab/Simulink rotor winding stator winding |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585938503321 |
Palka Ryszard
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Analysis and Stochastic Modelling of Hydrological Extremes
| Statistical Analysis and Stochastic Modelling of Hydrological Extremes |
| Autore | Tabari Hossein |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto non controllato |
artificial neural network
downscaling innovative methods reservoir inflow forecasting simulation extreme events climate variability sparse monitoring network weighted mean analogue sampling errors precipitation drought indices discrete wavelet SWSI hyetograph trends climate change SIAP Kabul river basin Hurst exponent extreme rainfall evolutionary strategy the Cauca River hydrological drought global warming least square support vector regression polynomial normal transform TRMM satellite data Fiji heavy storm flood regime compound events random forest uncertainty seasonal climate forecast INDC pledge Pakistan wavelet artificial neural network HBV model temperature APCC Multi-Model Ensemble meteorological drought flow regime high resolution rainfall clausius-clapeyron scaling statistical downscaling ENSO forecasting variation analogue machine learning extreme rainfall analysis hydrological extremes multivariate modeling monsoon non-stationary support vector machine ANN model stretched Gaussian distribution drought prediction non-normality statistical analysis extreme precipitation exposure drought analysis extreme value theory streamflow flood management |
| ISBN | 3-03921-665-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367749703321 |
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Tabari Hossein
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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