Fault detection based on Principal Component Analysis in the context of Missing Data.
Yosra FatnassiInes JaffelMohamed GuerfelNasreddine BouguilaPublished in: ICCAD (2024)
Keyphrases
- missing data
- fault detection
- principal component analysis
- fault diagnosis
- missing values
- low rank
- fault identification
- industrial processes
- incomplete data
- failure detection
- matrix factorization
- structure from motion
- fault detection and diagnosis
- data imputation
- tennessee eastman
- robust fault detection
- neural network
- feature space
- power plant
- multiple imputation
- dimension reduction
- discriminant analysis
- singular value decomposition
- dimensionality reduction
- np hard
- artificial neural networks
- face recognition