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Advanced Process Monitoring for Industry 4.0

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-2074-2

País de edición

Suiza