Pages that link to "Item:Q2235402"
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The following pages link to Multivariate statistical process monitoring based on principal discriminative component analysis (Q2235402):
Displaying 9 items.
- On-line batch process monitoring and diagnosing based on Fisher discriminant analysis (Q879709) (← links)
- Batch process monitoring based on multilevel ICA-PCA (Q946644) (← links)
- Monitoring of multimode processes based on quality-related common subspace separation (Q1718505) (← links)
- Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring (Q1797206) (← links)
- Canonical correlation analysis-based explicit relation discovery for statistical process monitoring (Q2181391) (← links)
- Chemical process monitoring and fault diagnosis based on sensitive sparse principal component analysis (Q2983743) (← links)
- Monitoring Multi-Attribute Processes Based on NORTA Inverse Transformed Vectors (Q3631426) (← links)
- Choosing principal components for multivariate statistical process control (Q4337165) (← links)
- Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders (Q6168965) (← links)
