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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 electronic resource (236 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
rolling bearing
performance degradation hybrid kernel function krill herd algorithm SVR acoustic-based diagnosis gear fault diagnosis attention mechanism convolutional neural network stacked auto-encoder weighting strategy deep learning bearing fault diagnosis intelligent leak detection acoustic emission signals statistical parameters support vector machine wavelet denoising Shannon entropy adaptive noise reducer gaussian reference signal gearbox fault diagnosis one against on multiclass support vector machine varying rotational speed fault detection and diagnosis faults estimation actuator and sensor fault observer design Takagi-Sugeno fuzzy systems automotive perception sensor lidar fault detection fault isolation fault identification fault recovery fault diagnosis fault detection and isolation (FDIR) autonomous vehicle model predictive control path tracking control fault detection and isolation braking control nonlinear systems fault tolerant control iterative learning control neural networks cryptography wireless sensor networks machine learning scan-chain diagnosis artificial neural network NARX control valve decision tree signature matrix |
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)
| Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) |
| Autore | Rubio Eva M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (184 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
2D positioning control
nanopositioning Halbach linear motors positioning uncertainty hyperspectral imaging pigment analysis cultural heritage conservation cultural management visual enhancement rock art cartography 3D printing additive manufacturing fused deposition modeling (FDM) minor surgery primary care surgical training initial population data mining multi-variety machine learning production planning capacity planning digital twin forecasting viable system model simulation system dynamics customer demand demand planning automotive military logistics lean management DMAIC VSM-VSD engineer-to-order order management process production planning and control maintenance management order-to-delivery agent-based simulation metallurgical industry Inconel 718 Inco718 springback bauschinger autoform stack drilling CFRP/CFRP laminates multiple sensor monitoring tool wear evaluation dry turning surface roughness microhardness UNS A97075 aluminum alloys forming machining metrology technological and industrial heritage industry 4.0 green manufacturing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Special Issue of the Manufacturing Engineering Society 2019 |
| Record Nr. | UNINA-9910557606703321 |
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Rubio Eva M
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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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