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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 online resource (222 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accurate modelling
artificial neural network artificial neural networks automatic train operation dynamic model effective parameters electrical machines electromagnetic models end effect energy efficiency evolutionary strategy finite element analysis finite element method fourth central moment homogeneity analysis indirect rotor field-oriented control induction machine induction machine drives induction machines induction motor induction motors LIM linear induction motor linear induction motors Matlab/Simulink mechanical unbalance model selection model-based prediction modelling of ring induction motors Monte Carlo method motor performance n/a one broken rotor bar optimization outer-race bearing fault pattern search rotor field-oriented angle error rotor winding simulated annealing slip frequency soft magnetic material solid rotor squirrel-cage rotor startup transient current stator winding thermal conductivity thermal modeling three-phase induction motor two broken rotor bars |
| 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 / Hossein Tabari
| Statistical Analysis and Stochastic Modelling of Hydrological Extremes / Hossein Tabari |
| Autore | Tabari Hossein |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto topico | Meteorology & climatology |
| 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 |
9783039216659
3039216651 |
| 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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