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Design and Implementation of Soft Measurement for Kappa Value of the End of Displacement Cooking |
Received:January 19, 2023 Revised:September 18, 2023 |
DOI:10.11981/j.issn.1000-6842.2024.01.100 |
Key Words:displacement cooking;soft measurement modeling;Kappa value;MATLAB |
Fund Project:陕西省科技厅重点研发计划项目(2023-YBGY-217);咸阳市科技局“揭榜挂帅”科技项目(L2022-JBGS--GY-07);咸阳职业技术学院科研项目(2016KYA02);咸阳职业技术学院“双高计划”专项项目(2020SGB07);咸阳职业技术学院“专创融合”示范课程“PLC技术及应用”;陕西省教育科学“十四五”规划项目(SGH21Y0584);2022年度陕西省职教学会项目(2022SZX276);2023年度陕西高等职业教育教学改革研究项目“中国特色学徒制视域下机电“现场工程师”改革实践研究”;陕西省社科联项目(2023HZ1427);陕西省咸阳市重点研发计划资助项目(L2022ZDYF-GY-008)。 |
Author Name | Affiliation | Postcode | DANG Shihong | Electromechanical Institute, Xianyang Vocational & Technical College, Xianyang, Shaanxi Province, 712000 | 712000 | YU Dongwei | School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021 | 710021 | LI Minghui* | College of Machanical & Electrical Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021 | 710021 |
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Abstract: |
In view of the difficulties in data collection during pulp displacement cooking and the lack of on-line measuring instruments for Kappa value at the end of the process, this research explored the Kappa value soft measurement model with RPLSR, RBF and RPLSR-RBF algorithms, and analyzed the established model with MATLAB. The results showed that the soft measurement model based on RPLSR-RBF algorithm had higher accuracy and smaller relative error than that of RPLSR or RBF algorithm alone. Moreover, the research finally obtained the block diagram and work flow chart of the online soft measurement system for Kappa value. |
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