Subspace-based fault detection robust to changes in the noise covariances.
Michael DöhlerLaurent MevelPublished in: Autom. (2013)
Keyphrases
- fault detection
- robust fault detection
- fault diagnosis
- industrial processes
- image noise
- condition monitoring
- fault identification
- failure detection
- constraint satisfaction
- covariance matrices
- salt pepper
- fuel cell
- fault detection and diagnosis
- principal component analysis
- tennessee eastman
- covariance matrix
- vibration signal
- fault localization
- gas turbine
- high dimensional
- fault detection and isolation
- genetic programming
- neural network
- computer simulation
- estimation error