Supervised machine learning based system for automatic fault-detection in water-quality sensors.
Abhilash NairJonas WeitzelAleksander HykkerudHarsha RatnaweeraPublished in: ICSTCC (2022)
Keyphrases
- fault detection
- supervised machine learning
- water quality
- fault diagnosis
- industrial processes
- fault identification
- failure detection
- tennessee eastman
- water treatment
- manually annotated
- measured data
- fuel cell
- robust fault detection
- supervised learning
- condition monitoring
- fault detection and diagnosis
- power plant
- water resources
- machine learning
- active learning
- real time
- input output
- decision support system
- domain specific
- grey relational analysis
- artificial neural networks
- artificial intelligence
- neural network