Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks.
Miguel Delgado PrietoGiansalvo CirrincioneAntonio Garcia EspinosaJuan Antonio Ortega RedondoHumberto HenaoPublished in: IEEE Trans. Ind. Electron. (2013)
Keyphrases
- fault detection
- condition monitoring
- fault diagnosis
- neural network
- industrial processes
- fault identification
- fault detection and diagnosis
- acoustic emission
- nuclear power plant
- power transformers
- failure detection
- feature set
- feature extraction
- tennessee eastman
- vibration signal
- pattern recognition
- fuel cell
- robust fault detection
- fault localization
- fault detection and isolation
- tool wear
- fuzzy logic
- power plant
- evolutionary algorithm
- decision making