The Study and Application of Beating Degree’s Soft-Measurement Technology Based on FBP Algorithm in Product Materials System

Abstract:

Beating degree can not be measured on-line, study shows that beating degree is associated with pulp consistency, pulp flow rate, pressure of inlet pulp, the energy consumption of refining, the refining time etc. A beating degree’s soft-sensing model based on fbp algorithm was established .It was applied in beating degree’s control successfully. The actual result shows that this method can realize beating degree’s accurate measurement and lays the foundation for beating degree’s optimal control.

• Periodical: Applied Mechanics and Materials (Volumes 63-64)
• Pages: 295-298
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.63-64.295
• Online since: June 2011
• Authors: Yan Li, He Jin Xu
• Keywords: Beating Degree, BP Neural Network (BPNN), fbp Neural Network, Soft Measurement

References

[1] Liu HuanBin. Pulping and paper making process automatic measure and control[M] . Beijing: Chinese light industry publishing house, (2003).

[2] Wang MengXiao. Pulping and paper making process measure and control system and project [M]. Beijing: Chemical industry publishing house, (2003).

[3] Yuan cengren. Artificial neuron network and the application[M]. Beijing: Qinghua University publishing house, (1999).

[4] Li shiyong. Fuzzy control. Neural control and intelligent cybernetics[M]. Harbin: Harbin industrial university publishing house. (1998).

[5] Jin Yihui. Process control[M]. Beijing: Qinghua University publishing house, (1999).