Fault Detection in Hot Strip Mill using Multi-way Principal Component Analysis and Autoregressive Model Spectrum Estimation.
Wei-Li ChuangYuan-Liang HsuJia-Yush YenCheng-Hung ChenPublished in: IICAI (2007)
Keyphrases
- fault detection
- autoregressive model
- principal component analysis
- fault diagnosis
- industrial processes
- fault identification
- tennessee eastman
- autoregressive
- fault detection and diagnosis
- linear discriminant analysis
- fuel cell
- failure detection
- discriminant analysis
- wavelet analysis
- random fields
- parameter estimation
- independent component analysis
- image quality
- expert systems
- face recognition
- image processing
- neural network
- rough sets
- feature space
- feature selection
- computer vision