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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
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additive white Gaussian noises (AWGN) association matrix behavior transfer belief statistic cascading failures CFSFDP algorithm close distance coal seams coarse model complex network theory condition monitoring constitutive model control chart control problem cumulative distribution function data-driven methods dead time deep deterministic policy gradient deep reinforcement learning deviation control distributed generation (DG) distributed model predictive control drilling machine energy conversion systems event-based EWT failure criterion fast Fourier transform (FFT) Fast-Newman algorithm fault classification fault diagnosis fault prognosis flexible flow shop flexible flow shop scheduling flotation process full-heat integration fuzzy logic gamma distribution goaf gob-side entry retaining by roof cutting graph theory hardware experiment Holmquist-Johnson-Cook constitutive model of briquette Hopfield neural network Hybrid Attack Graph improved compact genetic algorithm in-situ monitoring incomplete data INSGA-II Level-of-Resilience limited buffer link-addition strategy load identification local scheduling loop design memetic salp swarm algorithm microalgae MIMO temperature control in heating process system multi-input and multi-output system multi-input multi-output (MIMO) temperature system multi-linear principal component analysis (MPCA) multi-objective optimization multi-queue limited buffers multiscale fuzzy entropy n/a neutrosophic statistic non-pillar nonlinear adaptive backstepping controller disturbance observer numerical simulation oil and gas optimal nonlinear adaptive control parameter acquisition parameter uncertainties perturbation observer PID PNN pole-zero cancelation potential crowding distance power systems pressure swing distillation probability density function of the Gaussian distribution process control public buffer raceway reactive power optimization reagent dosage refrigeration reinforcement learning resilient control roadway supporting self-learning semiconductor bonding equipment-grouping method separation simulated annealing algorithm slow-mode-based control split Hopkinson pressure bar experiment stability state-action chains static and dynamic planning steam power plant steam/water loop stress distribution temperature difference temperature differences time series froth image topology transfer bees optimizer transient response tunnel boring machine uncorrelated multi-linear principal component analysis (UMPCA) variable geometry turbocharger voltage source converter water wind turbine wind turbine systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
Gao Zhiwei
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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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Microgrids
| Microgrids |
| Autore | Guerrero Josep M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (108 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
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battery storage buck-boost converter chaos synchronization detection combined power generation system communication delay congestion problems coordinated control coordinated control strategy coordinative optimization of energy cost and life current harmonic reduction curtailment datacenter DC architectures DC distribution DC microgrid decision tree demand-side management deterministic optimization devices scheduling direct search method (DSM) distributed energy resource distributed energy resources distributed energy resources (DERs) distributed generation distributed generation (DG) distributed optimization doubly fed induction machine droop control electric energy market electric vehicle electric vehicle (EV) embedded system energy efficiency energy management system energy storage ESS effective rate extension theory flexibility flexible and configurable architecture flexible generation flywheel energy storage (FES) frequency control generic object oriented substation event (GOOSE) communication genetic algorithm grid independence grounding HESS hierarchical control scheme IEC 61850 IEC 61850 Standard inrush current integrated electrical and thermal grids isolated grid load frequency control (LFC) load power sharing maximum electrical efficiency medium-voltage networks mesh configuration micro-grid microgrid microgrid (MG) microgrid stability controller (MSC) microgrid test facility microgrids multi-agent multiresolution multivariable generalized predictive control (MGPC) network planning nonlinear programming operation optimal capacity optimal dispatch optimal power flow optimization particle swarm optimization peak-cut peak-shift photovoltaic feasibility plug and play power distribution power quality power quality disturbances predictive control radial configuration regular EV reliability reliability evaluation renewable renewable energy source renewable sources residential power systems residential users ruleless EV S-transform small-scale standalone microgrid smart grid smart grids smart inverter smoothing wind power solid oxide fuel cell stochastic optimization storage systems technical and economic optimization telecommunication power management total sliding-mode control vehicle information system vehicle-to-grid vehicle-to-grid (V2G) |
| ISBN | 3-03921-869-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372785803321 |
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Guerrero Josep M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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