Advanced Process Monitoring for Industry 4.0

Weitere Verfasser: Reis, Marco S. , [HerausgeberIn]
Gao, Furong , [HerausgeberIn]
Umfang/Format: 1 online resource (288 pages).
ISBN: books978-3-0365-2074-2
9783036520735
9783036520742
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
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