The parameter adjust feedback technique developed based on sequential learning and optimization methods offers the suggested parameter values to optimize the production process as fast as possible.
Applications & Benefits
Manufacturers often need manual experience to adjust process parameters due to machine parameter drift during the production process. The parameter adjustment feedback technology can provide optimization parameter adjustment suggestions through sequential sampling and optimization technology, and assist engineers to improve the efficiency of parameter tuning.
This technique has been applied in steel industry and could help user to find good parameters as fast as possible.