A pdf modeling method for output fiber morphology distribution of high consistency refining system
A fiber morphology, high-consistency refining technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to distribute probability density function modeling and control, fiber morphology modeling and control difficulties, etc.
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[0092] As shown in the figure, the implementation method of the present invention includes (1) auxiliary variable selection and model input variable determination, (2) training and predictive use of the fiber morphology distribution PDF model.
[0093] (1) Selection of auxiliary variables and determination of model input variables
[0094] Auxiliary variables are chosen as:
[0095] Dilution water u 1 (t)(l / min);
[0096] High concentration grinding disc speed u 2 (t)(rpm);
[0097] High-concentration disc clearance u 3 (t)(mm);
[0098] The variables listed above are the input variables of the model, and the output variables that need to be measured on-line in real time are the PDF (probability density function) γ(y, u(t)).
[0099] (2) Model training and use
[0100] (A) start: variable initialization;
[0101] (B) Model training or fiber shape distribution prediction: If you choose model training, go to (C), read the output fiber shape distribution PDF sample set o...
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