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 |
Chen Hongtian
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 online resource (446 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
3D printing
3D simulation modeling and analysis abrasive water jet additive manufacturing agri-supply chain management AGV-Automated Guided Vehicles algebraic geometry Beijing-Tianjin-Hebei region bin-packing problem biopharmaceutical manufacturing bioprocessing blockchain BOG compressor bottleneck analysis closed-loop scheduling cloud model comprehensive evaluation computational engineering computer systems and networks continuous manufacturing continuous pharmaceutical manufacturing cutting cyber-physical systems DES-Discrete Event Simulation digital twin digitalisation eco-efficient production edge computing enterprise process architecture enterprise-wide optimisation explicit MPC fault detection FMS-Flexible Manufacturing Systems fouling glidant effects heat exchanger networks human-cyber systems imperfect production Industrial Internet of Things Industry 4.0 intelligent manufacturing intelligent systems inventory management IoT LNG terminal low-carbon economy machine learning manufacturing process material requirements planning MINLP mixed-integer linear programming model implementation model predictive control model-based modeling multi-echelon multi-parametric programming n/a new technologies integration OEE-Overall Equipment Efficiency operational envelopes operational flexibility operational optimization optimal control and scheduling optimal resources pharmaceutical manufacture pharmaceutical manufacturing plant-model mismatch predictive process adjustment process intelligence process modeling process simulation process systems engineering production costs quality prediction quality-by-control (QbC) real-time monitoring regional logistics reinforcement learning resource conservation scheduling stability sensor data set-point tracking single-use technology smart manufacturing state estimation stochastic programming supply chain surface quality Tri-X Intelligence uncertainty vacuum gripper variable production rate WCLcWorld Class Logistic |
| 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
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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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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