Fault detection via recurrence time statistics and one-class classification.
David Martínez-RegoOscar Fontenla-RomeroAmparo Alonso-BetanzosJosé C. PríncipePublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- fault detection
- fault diagnosis
- industrial processes
- tennessee eastman
- condition monitoring
- fault identification
- failure detection
- fault localization
- robust fault detection
- fuel cell
- statistical methods
- novelty detection
- power plant
- rotating machinery
- fault detection and diagnosis
- neural network
- fault isolation
- speaker verification
- vibration signal
- real time
- data mining techniques
- fuzzy sets
- decision making
- databases