Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers.
Francesco SimminiMirco RampazzoAlessandro BeghiFabio PeterlePublished in: ETFA (2018)
Keyphrases
- fault detection
- principal component analysis
- fault diagnosis
- principal components
- industrial processes
- tennessee eastman
- fault identification
- condition monitoring
- dimensionality reduction
- independent component analysis
- covariance matrix
- fuel cell
- failure detection
- robust fault detection
- fault detection and diagnosis
- feature extraction
- fault detection and isolation
- rotating machinery
- fault isolation
- face recognition
- feature space
- fault localization
- real time
- fuzzy logic
- artificial neural networks
- gas turbine
- machine learning