Detection of Anomalies in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System.
Mohammad Sadegh Sadeghi GarmaroodiFaezeh FarivarMohammad Sayad HaghighiMahdi Aliyari ShoorehdeliAlireza JolfaeiPublished in: IEEE Internet Things J. (2021)
Keyphrases
- data mining
- management system
- anomaly detection
- detection accuracy
- complex systems
- detection method
- decision making
- statistical analysis
- data mining systems
- object detection
- empirical studies
- databases
- association rules
- data analysis
- spatial data
- false alarms
- business applications
- industrial applications
- abnormal behavior