Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 electronic resource (290 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
process monitoring
dynamics variable time lag dynamic autoregressive latent variables model sintering process hammerstein output-error systems auxiliary model multi-innovation identification theory fractional-order calculus theory canonical variate analysis disturbance detection power transmission system k-nearest neighbor analysis statistical local analysis intelligent fault diagnosis stacked pruning sparse denoising autoencoder convolutional neural network anti-noise flywheel fault diagnosis belief rule base fuzzy fault tree analysis Bayesian network evidential reasoning aluminum reduction process alumina concentration subspace identification distributed predictive control spatiotemporal feature fusion gated recurrent unit attention mechanism fault diagnosis evidential reasoning rule system modelling information transformation parameter optimization event-triggered control interval type-2 Takagi-Sugeno fuzzy model nonlinear networked systems filter gearbox fault diagnosis convolution fusion state identification PSO wavelet mutation LSSVM data-driven operational optimization case-based reasoning local outlier factor abnormal case removal bearing fault detection deep residual network data augmentation canonical correlation analysis just-in-time learning fault detection high-speed trains autonomous underwater vehicle thruster fault diagnostics fault tolerant control robust optimization ocean currents |
| ISBN | 3-0365-5174-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469103321 |
Chen Hongtian
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools
| Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools |
| Autore | Puigjaner Luis |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (446 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
manufacturing process
additive manufacturing IoT computer systems and networks 3D printing digital twin Industry 4.0 pharmaceutical manufacturing biopharmaceutical manufacturing process modeling mixed-integer linear programming bin-packing problem material requirements planning agri-supply chain management variable production rate optimal resources imperfect production eco-efficient production closed-loop scheduling scheduling stability optimal control and scheduling fouling heat exchanger networks continuous manufacturing bioprocessing process systems engineering single-use technology AGV-Automated Guided Vehicles DES-Discrete Event Simulation FMS-Flexible Manufacturing Systems OEE-Overall Equipment Efficiency WCLcWorld Class Logistic abrasive water jet cutting surface quality quality prediction 3D simulation modeling and analysis model implementation bottleneck analysis production costs resource conservation smart manufacturing edge computing machine learning blockchain Industrial Internet of Things inventory management supply chain multi-echelon stochastic programming reinforcement learning digitalisation model-based computational engineering process simulation LNG terminal operational optimization BOG compressor MINLP enterprise process architecture new technologies integration process intelligence real-time monitoring fault detection predictive process adjustment vacuum gripper sensor data Tri-X Intelligence cyber-physical systems human-cyber systems intelligent systems intelligent manufacturing multi-parametric programming explicit MPC enterprise-wide optimisation set-point tracking algebraic geometry continuous pharmaceutical manufacturing model predictive control state estimation quality-by-control (QbC) glidant effects plant-model mismatch regional logistics low-carbon economy cloud model comprehensive evaluation Beijing-Tianjin-Hebei region pharmaceutical manufacture uncertainty operational flexibility operational envelopes modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Expanding the Horizons of Manufacturing |
| Record Nr. | UNINA-9910585940603321 |
|
Puigjaner Luis
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (228 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
supercritical circulating fluidized bed
boiler-turbine unit active disturbance rejection control burning carbon genetic algorithm Solar-assisted coal-fired power generation system Singular weighted method load dispatch CSP plant model transient analysis power tracking control two-tank direct energy storage electronic device flip chip component thermal stress thermal fatigue life prediction combustion engine efficiency dynamic states artificial neural network dynamic modeling thermal management parameter estimation energy storage operation and planning electric and solar vehicles ultra-supercritical unit deep neural network stacked auto-encoder maximum correntropy heat exchanger forced convection film coefficient heat transfer water properties integrated energy system operational optimization air–fuel ratio combustion control dynamic matrix control power plant control high temperature low sag conductor coefficient of thermal expansion overhead conductor low sag performance chemical looping wavelets NARMA model generalized predictive control (GPC) steam supply scheduling exergetic analysis multi-objective ε-constraint method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557113403321 |
|
Lee Kwang Y
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||