A Kernel Least Squares Based Approach for Nonlinear Quality-Related Fault Detection.
Guang WangJianfang JiaoPublished in: IEEE Trans. Ind. Electron. (2017)
Keyphrases
- fault detection
- least squares
- fault diagnosis
- industrial processes
- fault identification
- tennessee eastman
- quality improvement
- fault detection and diagnosis
- sparse linear
- condition monitoring
- nonlinear least squares
- failure detection
- kernel pca
- fuel cell
- robust fault detection
- robust estimation
- power plant
- fault detection and isolation
- quality assurance
- neural network
- quality assessment
- fault tolerant
- constraint satisfaction
- search space
- artificial neural networks
- feature space
- support vector