Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-22
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Pulp washing process has the features of multivariate, time delay, nonlinearity.
Considering the difficulties of modeling and optimal control in pulp washing process, a data-driven operational-pattern optimization method is proposed to model and optimize the pulp washing process in this paper.
The most important quality indexes of pulp washing performance are residual soda in the washed pulp and Baume degree of extracted black liquor.
Considering the difficulties of modeling, online measurement of these indexes, two-step neural networks, and multivariate logistic regression are used to establish the prediction models of residual soda and Baume degree.
The mathematical model of the washing process can be identified, and the indexes can meet the production requirements.
In the target of better product quality, low cost, and low energy consumption, a multiobjective problems is solved by ant colony optimization algorithm based on the optimized operational-pattern database.
It shows that the theoretical analyses are correct and the practical applications are feasible, optimization control system has been designed for the pulp washing process, and the practical results show that pulp production increased by 20% and water consumption decreased by nearly 30%.
This method is effective in the pulp washing process.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shan, Wenjuan& Tang, Wei. 2020. Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1202495
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shan, Wenjuan& Tang, Wei. Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1202495
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shan, Wenjuan& Tang, Wei. Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1202495
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202495
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر