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Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
artificial generation of variability
auto machine learning classification combustion condition monitoring construction industry continuous casting control chart pattern convolutional neural network curve resolution data augmentation data mining data reconciliation decision support systems digital processing discriminant analysis disruption management disruptions expert systems failure mode and effects analysis (FMEA) failure mode effects analysis fault detection fault diagnosis high-dimensional data imbalanced data Industry 4.0 latent variables models load identification membrane monitoring multi-mode model multi-phase residual recursive model multiscale multivariate data analysis n/a neural networks non-intrusive load monitoring online optical sensors OPTICS pasting process PCA plaster production PLS principal component analysis process control process image process monitoring quality control quality prediction real-time risk priority number rolling bearing semiconductor manufacturing signal detection Six Sigma spatial-temporal data spectroscopy measurements statistical process control statistical process monitoring time series classification yield improvement |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
Reis Marco S
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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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Sensor Signal and Information Processing III
| Sensor Signal and Information Processing III |
| Autore | Woo Wai Lok |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (394 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ADMM
Akaike information criterion aluminum ingot audio signal processing Bayesian tracking blind signal separation brain CT image brain-computer interface complexity compressed sensing computational efficiency computed tomography cosine loss CSI cyclic spectrum data reduction decision tree-support vector machine deep learning dictionary learning Difference of Gaussian dual-function radar-communications EEG equivalent bias angles fingerprinting frequency-hopping code gearbox fault geometric calibration high-order cumulant human-robot interaction image captioning image reconstruction image registration inception-v3 indoor localization information embedding internet of things Internet of Things (IoT) inverse problems kalman filter Laplacian scores large deformation linear array push-broom sensor long short-term memory network long- and short-period errors LoRaWAN low-dose CT machine learning mask gradient response medical image registration micro-vibration modulation classification motor imagery multiple-input multiple-output (MIMO) mutual information (mi) n/a neural network noise filtering non-rigid transformation nonlinear autoregressive nonlocal total variation nonnegative matric factorization permutation entropy (PE) pianists proximal splitting reaction wheel registration accuracy reverse dispersion entropy (RDE) reverse permutation entropy (RPE) row-action sensor signal sensors signal denoising signal detection similarity measure singular value decomposition sleep stage sound event classification sparse recovery sparse-view CT spectroscopy stable recovery state space model support vector machines surface inspection tensor principal component pursuit tensor SVD the multi-inputs convolutional neural networks the single shot multibox detector networks three-dimensional (3D) vision time series analysis waveform optimization wavelet packet weakly supervised weighted-permutation entropy (W-PE) wind turbine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557693303321 |
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Woo Wai Lok
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||