Exemplare: Advanced Process Monitoring for Industry 4.0

Weitere Verfasser:	Reis, Marco S. , [HerausgeberIn] Gao, Furong , [HerausgeberIn]
Umfang/Format:	1 online resource (288 pages).
Schlagworte:	Technology: general issues 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
Online Zugang:	DOAB: download the publication DOAB: description of the publication

DOAB: download the publication
DOAB: description of the publication
DAI Online

Signatur	Standort	Beschreibung	Exemplarstatus	Notiz
Online			Präsenzbestand