Pages that link to "Item:Q2263585"
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The following pages link to Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements (Q2263585):
Displaying 10 items.
- Iterative learning control for nonlinear stochastic systems with variable pass length (Q325883) (← links)
- Quality-related fault detection using linear and nonlinear principal component regression (Q328104) (← links)
- Detecting intermittent sensor faults for linear stochastic systems subject to unknown disturbance (Q344666) (← links)
- A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process (Q509342) (← links)
- Adaptive neural control of unknown non-affine nonlinear systems with input deadzone and unknown disturbance (Q784068) (← links)
- A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process (Q1660329) (← links)
- An efficient quality-related fault diagnosis method for real-time multimode industrial process (Q1794265) (← links)
- A key performance indicator-based fault detection scheme for marine diesel turbocharging systems (Q2058025) (← links)
- A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method (Q2224767) (← links)
- Tracking control of a marine surface vessel with full-state constraints (Q2974204) (← links)
