PROJECT TITLE :

Expert System for the Detection of Condensate Accumulation Inside Dryer Cylinders During Section Starting

ABSTRACT:

The presence of condensate inside the dryer cylinders of a paper machine produces a significant increase in the ability required to accelerate the section, risking a drive overload and/or section shutdown. In previous works, the authors developed a sturdy estimation algorithm for the condensate power and a generalized correlation for the estimation of condensate loads in industrial dryer cylinders up to 55 mm of condensate rim. This paper presents and evaluates a rule-based mostly professional system (ES) capable of detecting the presence and amount of condensate in up to 3 groups of cylinders with completely different condensate loads. The ES can offer an early warning message to the operators and verify the condensate load and number of cylinders inside every group. Analysis is done employing a combined condensate load for a fictitious 150zero-mm eight-cylinder dryer section. Results show the capability of the developed ES to offer an early warning and a correct estimation of the condensate loads and number of cylinders concerned.