Modelling, Simulation and Control of Thermal Energy Systems
| Modelling, Simulation and Control of Thermal Energy Systems |
| Autore | Lee Kwang Y |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active disturbance rejection control
air-fuel ratio artificial neural network boiler-turbine unit burning carbon chemical looping coefficient of thermal expansion combustion control combustion engine efficiency CSP plant model deep neural network dynamic matrix control dynamic modeling dynamic states electric and solar vehicles electronic device energy storage operation and planning exergetic analysis film coefficient flip chip component forced convection generalized predictive control (GPC) genetic algorithm heat exchanger heat transfer high temperature low sag conductor integrated energy system life prediction load dispatch low sag performance maximum correntropy multi-objective NARMA model operational optimization overhead conductor parameter estimation power plant control power tracking control Singular weighted method Solar-assisted coal-fired power generation system stacked auto-encoder steam supply scheduling supercritical circulating fluidized bed thermal fatigue thermal management thermal stress transient analysis two-tank direct energy storage ultra-supercritical unit water properties wavelets ε-constraint method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557113403321 |
Lee Kwang Y
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors Fault Diagnosis Trends and Applications
| Sensors Fault Diagnosis Trends and Applications |
| Autore | Witczak Piotr |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (236 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
acoustic emission signals
acoustic-based diagnosis actuator and sensor fault adaptive noise reducer artificial neural network attention mechanism automotive autonomous vehicle bearing fault diagnosis braking control control valve convolutional neural network cryptography decision tree deep learning fault detection fault detection and diagnosis fault detection and isolation fault detection and isolation (FDIR) fault diagnosis fault identification fault isolation fault recovery fault tolerant control faults estimation gaussian reference signal gear fault diagnosis gearbox fault diagnosis hybrid kernel function intelligent leak detection iterative learning control krill herd algorithm lidar machine learning model predictive control n/a NARX neural networks nonlinear systems observer design one against on multiclass support vector machine path tracking control perception sensor performance degradation rolling bearing scan-chain diagnosis Shannon entropy signature matrix stacked auto-encoder statistical parameters support vector machine SVR Takagi-Sugeno fuzzy systems varying rotational speed wavelet denoising weighting strategy wireless sensor networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557506603321 |
Witczak Piotr
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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