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Structural Prognostics and Health Management in Power & Energy Systems
| Structural Prognostics and Health Management in Power & Energy Systems |
| Autore | Wang Dong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (218 p.) |
| Soggetto topico | Philosophy |
| Soggetto non controllato |
analysis mode decomposition
analysis-empirical mode decomposition data-driven deep learning DNN dynamic analysis dynamic analysis of the structure dynamic fuzzy reliability analysis empirical mode decomposition extremum surface response method fault detection full-scale static test fuzzy safety criterion health monitoring lateral-river vibration life cycle cost lithium-ion battery low frequency tail fluctuation machine learning mode mixing multioperation condition NAR neural network neural networks non-probabilistic reliability index offshore structures offshore wind turbines oil and gas platforms operational modal analysis optimized deep belief networks probabilistic analyses of stochastic processes and frequency prognostic and Health Management prognostics regeneration phenomenon reliability remaining useful life renewable energy residual useful life retrofitting activities rotation of hydraulic generator sensitivity analysis sifting stop criterion similarity-based approach stochastic subspace identification strain prediction structural health monitoring supervisory control and data acquisition system supporting vector machine (SVM) techno-economic assessments turbine blisk underground powerhouse vertical axis wind turbine vibration test vibration transmission mechanism wave-structure interaction (WSI) wavelet decomposition weighted regression wind and wave analysis wind turbine blade wind turbines |
| ISBN | 3-03921-767-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782603321 |
Wang Dong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wind Power Integration into Power Systems: Stability and Control Aspects
| Wind Power Integration into Power Systems: Stability and Control Aspects |
| Autore | Meegahapola Lasantha |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
3D aerodynamic model
active power output artificial neural network (ANN) capacity allocation capacity configuration of SCES collaborative capacity planning control parameters correction modules cumulant-based method (CBM) DFIG distributed wind power (DWP) doubly fed induction generator doubly fed induction generator (DFIG) eigenvalue analysis electromechanical dynamics electromechanical loop correlation ratio (ELCR) energy storage system (ESS) error following forget gate-based long short-term memory ES FCWG dynamic correlation ratio (FDCR) FCWG dynamics FORTRAN frequency control frequency response metrics full-converter wind fuzzy clustering fuzzy logic controller hybrid prediction model impedance modeling inertial response kinetic energy linear sensitivity-based method (LSM) load frequency control (LFC) long short-term memory low inertia low voltage ride through (LVRT) model-based operational planning multi-model predictive control n/a optimization particle swarm optimization permanent magnet synchronous generator (PMSG) PSS/E quasi- electromechanical loop correlation ratio (QELCR) regional RoCoF renewable energy sources (RESs) Reynolds-averaged Navier-Stokes method rotor overspeed control scenario analysis strong interaction sub-synchronous resonance subsynchronous oscillation supercapacitor energy storage (SCES) the center of inertia turbulence model ultra-short-term prediction variable-structure copula virtual inertia control virtual synchronous generator wavelet decomposition weak grids wind farm wind generation wind integration wind power wind power generation wind turbine wake model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Wind Power Integration into Power Systems |
| Record Nr. | UNINA-9910557761903321 |
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Meegahapola Lasantha
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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