A fault/anomaly system prognosis using a data-driven approach considering uncertainty.
Teresa EscobetJoseba QuevedoVicenç PuigPublished in: IJCNN (2012)
Keyphrases
- fault diagnosis
- data driven
- fault detection
- anomaly detection
- breast cancer
- machine learning methods
- intrusion detection
- multiple faults
- expert systems
- machine learning
- neural network
- robust optimization
- inherent uncertainty
- real time
- databases
- network traffic
- uncertain data
- data sets
- belief functions
- detecting anomalies