Flexible software for condition monitoring, incorporating novelty detection and diagnostics.
Christos EmmanouilidisErkki JantunenJohn MacIntyrePublished in: Comput. Ind. (2006)
Keyphrases
- condition monitoring
- novelty detection
- text filtering
- fault detection
- fault diagnosis
- anomaly detection
- acoustic emission
- sentence level
- power transformers
- nuclear power plant
- concept drift
- support vector data description
- vibration signal
- tool wear
- historical data
- classification accuracy
- high dimensional
- reinforcement learning
- knowledge base
- data sets