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