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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 electronic resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
process control
separation oil and gas control chart fuzzy logic neutrosophic statistic incomplete data belief statistic gamma distribution microalgae raceway control problem PID event-based flexible flow shop scheduling multi-queue limited buffers improved compact genetic algorithm probability density function of the Gaussian distribution transfer bees optimizer reinforcement learning behavior transfer state-action chains reactive power optimization Holmquist-Johnson-Cook constitutive model of briquette parameter acquisition split Hopkinson pressure bar experiment numerical simulation pressure swing distillation full-heat integration acetonitrile water distributed model predictive control steam power plant steam/water loop multi-input and multi-output system loop design optimal nonlinear adaptive control memetic salp swarm algorithm voltage source converter perturbation observer hardware experiment MIMO temperature control in heating process system pole-zero cancelation temperature difference transient response dead time slow-mode-based control multi-input multi-output (MIMO) temperature system temperature differences non-pillar gob-side entry retaining by roof cutting close distance coal seams goaf stress distribution semiconductor bonding equipment-grouping method graph theory association matrix CFSFDP algorithm self-learning variable geometry turbocharger deep reinforcement learning deep deterministic policy gradient flexible flow shop limited buffer public buffer Hopfield neural network local scheduling simulated annealing algorithm load identification EWT multiscale fuzzy entropy PNN Hybrid Attack Graph Level-of-Resilience stability topology distributed generation (DG) INSGA-II multi-objective optimization potential crowding distance static and dynamic planning data-driven methods coarse model refrigeration tunnel boring machine roadway supporting constitutive model failure criterion in-situ monitoring power systems complex network theory Fast-Newman algorithm link-addition strategy cascading failures flotation process reagent dosage time series froth image cumulative distribution function fault diagnosis fault classification fast Fourier transform (FFT) multi-linear principal component analysis (MPCA) uncorrelated multi-linear principal component analysis (UMPCA) additive white Gaussian noises (AWGN) wind turbine systems deviation control drilling machine nonlinear adaptive backstepping controller disturbance observer parameter uncertainties wind turbine energy conversion systems condition monitoring fault prognosis resilient control |
| 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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Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
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Fuentes Sigfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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