Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data.
Jicong FanTommy W. S. ChowS. Joe QinPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- missing data
- fault detection
- fault diagnosis
- fault identification
- structure from motion
- industrial processes
- missing values
- matrix factorization
- low rank
- incomplete data
- robust fault detection
- tennessee eastman
- fuel cell
- failure detection
- power plant
- support vector machine
- imprecise data
- data imputation
- artificial intelligence
- fault detection and diagnosis
- multiple imputation
- databases
- missing information
- data analysis
- decision making
- least squares
- pattern recognition
- data mining