Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data.
Marek MoledaAlina MomotDariusz MrozekPublished in: ICCS (5) (2020)
Keyphrases
- sensor data
- regression methods
- coal fired
- detecting anomalies
- high pressure
- power plant
- anomaly detection
- regression model
- linear regression
- logistic regression
- sensor networks
- fault diagnosis
- abnormal events
- regression method
- data mining applications
- data streams
- genetic algorithm
- partial least squares
- least squares
- diesel engine
- decision support system
- artificial intelligence
- electric power
- soft computing
- pattern recognition
- pairwise
- management system
- real time
- model selection
- data sets