Unsupervised learning for improving fault detection in complex systems.
Roy AssafSamia Nefti-MezianiPhilip A. ScarfPublished in: AIM (2017)
Keyphrases
- complex systems
- fault detection
- unsupervised learning
- dynamic systems
- fault diagnosis
- industrial processes
- fault identification
- supervised learning
- condition monitoring
- manufacturing systems
- failure detection
- tennessee eastman
- discrete event systems
- physical systems
- multi agent systems
- fault detection and diagnosis
- technical systems
- power plant
- fault detection and isolation
- biological systems
- fault localization
- fuel cell
- robust fault detection
- mathematical models
- steady state simulation
- real time
- expectation maximization
- semi supervised
- evolutionary algorithm
- machine learning
- agent based modeling
- dimensionality reduction
- underwater vehicles
- fuzzy logic
- reinforcement learning