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Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring.
Josef Suschnigg
Belgin Mutlu
Anna Katharina Fuchs
Vedran Sabol
Stefan Thalmann
Tobias Schreck
Published in:
EDBT/ICDT Workshops (2020)
Keyphrases
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condition monitoring
anomaly detection
multivariate time series
multivariate time series data
fault diagnosis
nuclear power plant
fault detection
acoustic emission
detect anomalies
industrial applications
regression model
power transformers
rare events
sequential data
change point detection
multivariate data
tool wear
intrusion detection
temporal data
data analysis
artificial intelligence
intelligent systems
feature extraction