Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring.
Josef SuschniggBelgin MutluAnna Katharina FuchsVedran SabolStefan ThalmannTobias SchreckPublished in: EDBT/ICDT Workshops (2020)
Keyphrases
- 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