Impact of Measurement Accuracy on Fault Detection Obtained with Compressive Sensing.
Daniele CartaPaolo Attilio PegoraroSara SulisPublished in: AMPS (2018)
Keyphrases
- fault detection
- compressive sensing
- image recovery
- fault diagnosis
- industrial processes
- compressive sampling
- failure detection
- tennessee eastman
- fuel cell
- image representation
- sparse representation
- power plant
- random projections
- data mining
- fault identification
- signal processing
- machine learning
- data sets
- robust fault detection