Adaptive LII-RMPLS based data-driven process monitoring scheme for quality-relevant fault detection.
Xiaowei FengXiangyu KongBoyang DuJiayu LuoPublished in: J. Control. Decis. (2022)
Keyphrases
- fault detection
- data driven
- fault diagnosis
- industrial processes
- condition monitoring
- fault detection and diagnosis
- tennessee eastman
- fuel cell
- fault localization
- failure detection
- rotating machinery
- fault identification
- robust fault detection
- power plant
- quality assessment
- computer simulation
- fault isolation
- neural network
- gas turbine
- genetic programming
- expert systems