Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types.
Katharina RombachGabriel MichauOlga FinkPublished in: Sensors (2021)
Keyphrases
- fault detection
- fault diagnosis
- operating conditions
- condition monitoring
- fault identification
- tennessee eastman
- power plant
- fuel cell
- industrial processes
- robust fault detection
- dynamic programming
- reinforcement learning
- learning algorithm
- control strategy
- steady state
- vibration signal
- expert systems
- neural network