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Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021
| Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021 |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (292 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
3PL logistics
aerial vehicles ARAS automotive autonomous driving vehicles autonomous power system backstepping control battery energy storage constant power load CRITIC data-driven control model DC-DC converter decision making Differential Evolution dynamic stability dynamic vibration absorbers electricity system energy management energy storage entropy event-triggered control generating power consumer hybrid microgrids hydroelectric power plant intelligent driver model islanding detection local islanding low-dropout linear voltage regulator Lyapunov stability theorem maximum power point tracking metaheuristic algorithms microgrid microgrids motion tracking control networked control system nonlinear system optimal behavioral modeling optimal power consumption optimization parameter identification partial shading conditions photovoltaic system PLL power supply rejection ratio power-sharing control quadrotor remote islanding renewable energies renewable energy signal processing simulation solar photovoltaic power plant solid oxide fuel cell surface-based polynomial fitting university campus vehicular communication vibration control wind power plant |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576884503321 |
Bizon Nicu
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 online resource (290 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
abnormal case removal
alumina concentration aluminum reduction process anti-noise attention mechanism autonomous underwater vehicle auxiliary model Bayesian network bearing fault detection belief rule base canonical correlation analysis canonical variate analysis case-based reasoning convolution fusion convolutional neural network data augmentation data-driven deep residual network distributed predictive control disturbance detection dynamic autoregressive latent variables model dynamics event-triggered control evidential reasoning evidential reasoning rule fault detection fault diagnosis fault tolerant control filter flywheel fault diagnosis fractional-order calculus theory fuzzy fault tree analysis gated recurrent unit gearbox fault diagnosis hammerstein output-error systems high-speed trains information transformation intelligent fault diagnosis interval type-2 Takagi-Sugeno fuzzy model just-in-time learning k-nearest neighbor analysis local outlier factor LSSVM multi-innovation identification theory n/a nonlinear networked systems ocean currents operational optimization parameter optimization power transmission system process monitoring PSO robust optimization sintering process spatiotemporal feature fusion stacked pruning sparse denoising autoencoder state identification statistical local analysis subspace identification system modelling thruster fault diagnostics variable time lag wavelet mutation |
| 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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