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Algorithms for Fault Detection and Diagnosis
| Algorithms for Fault Detection and Diagnosis |
| Autore | Ferracuti Francesco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (130 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
structural health monitoring
digital image processing damage gray level co-occurrence matrix self-organization map rolling bearings fault diagnosis multiscale entropy amplitude-aware permutation entropy random forest reusable launch vehicle thruster valve failure thruster fault detection Kalman filter machine vision machine diagnostics instantaneous angular speed SURVISHNO 2019 challenge video tachometer motion tracking edge detection parametric template modeling adaptive template matching genetic algorithm misalignment fault prediction combined prediction multivariate grey model quantum genetic algorithm least squares support vector machine lithium-ion battery battery faults battery safety battery management system fault diagnostic algorithms |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557630403321 |
Ferracuti Francesco
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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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Cutting-Edge Technologies for Renewable Energy Production and Storage
| Cutting-Edge Technologies for Renewable Energy Production and Storage |
| Autore | Prussi Matteo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (124 p.) |
| Soggetto non controllato |
PV
GHG savings lithium-ion battery (LIB) probability prediction decarbonization supercapacitor (SC) least squares support vector machine EV fleet forecasts alternative maritime power (AMP) Markov chain feasibility study D funding hybrid power system numerical analysis ship structure optimal sizing cellulosic ethanol electric vehicles EV biofuel green ship R& bulk carrier molten carbonate fuel cell system sparse Gaussian process regression power-to-gas combination method charging infrastructure jet fuel flow characteristics hybrid refinery LNG-fueled ship |
| ISBN | 3-03936-001-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404075803321 |
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Prussi Matteo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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UAVs for Vegetation Monitoring
| UAVs for Vegetation Monitoring |
| Autore | de Castro Megías Ana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
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de Castro Megías Ana
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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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