Pages that link to "Item:Q985292"
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The following pages link to Geometric properties of partial least squares for process monitoring (Q985292):
Displaying 16 items.
- Quality-related fault detection using linear and nonlinear principal component regression (Q328104) (← links)
- Assessment of \(T^2\)- and \(Q\)-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring (Q509339) (← links)
- A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process (Q509342) (← links)
- Direct projection to latent variable space for fault detection (Q1659398) (← links)
- A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process (Q1660329) (← links)
- Process monitoring using a generalized probabilistic linear latent variable model (Q1716441) (← links)
- Fuzzy fault isolation using gradient information and quality criteria from system identification models (Q1749818) (← links)
- A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network (Q1797198) (← links)
- Fault detection for industrial processes (Q1955156) (← links)
- Data-driven design of fault detection and isolation method for distributed homogeneous systems (Q2030981) (← links)
- A key performance indicator-based fault detection scheme for marine diesel turbocharging systems (Q2058025) (← links)
- Hybrid variable monitoring: an unsupervised process monitoring framework with binary and continuous variables (Q2103637) (← links)
- Multimode process monitoring method based on multiblock projection nonnegative matrix factorization (Q2246539) (← links)
- Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements (Q2263585) (← links)
- Improved key performance indicator-partial least squares method for nonlinear process fault detection based on just-in-time learning (Q2680244) (← links)
- Incipient fault detection with probability transformation and statistical feature analysis (Q6574446) (← links)
