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<title cf:type="text"><![CDATA[ -->Papermaking Equipment and Control Automation]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Reduced-order Modeling and Predictive Control of Kappa Number at Cooking Endpoint in Batch Digestion Processes]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502018&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This study proposed a model predictive control （MPC） algorithm based on subspace identification. By extending the Purdue model， it simulated and modeled the changes in component concentrations of the solid phase， free liquid phase， and retained liquid phase during the batch cooking process. The numerical algorithm （N4SID） for subspace system identification was used to reduce the order of the nonlinear batch cooking process’s kinetic model， establishing a low-dimensional reduced-order state space model. A Lombard observer was introduced to perform online estimation of the state variables. Combined with the MPC strategy， precise control of the intermittent cooking process was achieved. MATLAB simulation results showed that under the developed MPC algorithm， the system could suppress fluctuations in the cooking process’s Kappa number， ensuring that the pulp Kappa number at the end of cooking reached the preset value with an error of ≤2%. The established fourth-order state-space model of the intermittent cooking process and the extended Purdue model achieved a fitting degree of 99.80%， demonstrating good agreement with the actual system and effectively reducing the computational complexity of the predictive control algorithm.]]></description>
<pubDate>2025/6/25 12:48:59</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[LIU Shouyuan,WEI Daixing,LIU Conghan,SONG Xiaoxuan,XIN Liping,JIANG Caijia,WU Yongling,FAN Rui,SUN Rongrong]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>LIU Shouyuan,WEI Daixing,LIU Conghan,SONG Xiaoxuan,XIN Liping,JIANG Caijia,WU Yongling,FAN Rui,SUN Rongrong</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502018&flag=1]]></guid><cfi:id>9</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Study on Intelligent Prediction Model of Papermaking Wastewater Effluent Quality Index Based on Ensemble Deep Learning]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502019&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To address the limitations of single model and improve overall robustness， this study focused on a wastewater treatment dataset from a single processing stage of a small-scale papermaking plant， took kernel principal component analysis （KPCA） for dimensionality reduction to effectively extract key features from the data， firstly. Then， integrated multiple long-short term memory （LSTM） learners using the Bagging ensemble strategy， and constructed a KPCA-Bagging-LSTM prediction model， where LSTM was capable of modeling the temporal characteristics of wastewater data. The results showed that the KPCA-Bagging-LSTM model achieved a coefficient of determination （<i>R</i>²） of 0.76， significantly outperforming other methods. The Root Mean Square Error （RMSE） and Mean Absolute Percentage Error （MAPE） were 3.55 mg/L and 4.01%， respectively， indicating lower prediction error and higher accuracy. By combining feature dimensionality reduction with ensemble learning， the proposed KPCA-Bagging-LSTM model enhanced prediction performance and provided an effective solution for forecasting COD and other effluent indicators in papermaking wastewater treatment.]]></description>
<pubDate>2025/6/25 12:49:00</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[WANG Jinyong,WANG Xinyuan,WEI Wenguang,ZHANG Fengshan,HUANG Peng,ZHOU Jingpeng,WAN Bing,NIU Guoqiang,LIU Hongbin]]></author>
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<atom:name>WANG Jinyong,WANG Xinyuan,WEI Wenguang,ZHANG Fengshan,HUANG Peng,ZHOU Jingpeng,WAN Bing,NIU Guoqiang,LIU Hongbin</atom:name>
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<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502019&flag=1]]></guid><cfi:id>8</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Communication Network Design for a UDP-based Visual Inspection System for Registration Error Detection]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502020&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In view of the problems such as insufficient accuracy， low efficiency and poor real-time performance of the detection system for the registration error of paper printing in network transmission， a transmission strategy based on user datagram protocol （UDP） was proposed， and a communication network for the registration error detection system was designed and constructed. Firstly， in combination with the characteristics of the printing registration detection system and the requirements of network transmission， two independent threads for registration color mark image transmission and registration error data transmission were created. In terms of color mark image transmission， the bitmap image data with BMP format was analyzed， the transmission mechanism was defined， and the problems of data disorder and loss in image data were solved. In terms of error data transmission， the registration error message format was defined， and a registration error data transmission thread was built to enable the registration control mechanism to adjust in real time. Through network packet capture， the constructed communication network for the registration error detection system was tested. The results showed that the average transmission rate of the image data in the transmission process of the constructed dual-thread communication network reached 120 Mbps， the end-to-end delay was controlled within 5.2 ms， and the packet loss rate was less than 0.01%.]]></description>
<pubDate>2025/6/25 12:49:01</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[ZHANG Jiayue,LIU Shanhui,ZHANG Han,WANG Xianju,SHI Gan,YANG Kailin]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHANG Jiayue,LIU Shanhui,ZHANG Han,WANG Xianju,SHI Gan,YANG Kailin</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202502020&flag=1]]></guid><cfi:id>7</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research on Distributed Flexible Flow Shop Scheduling Problem with Loading Efficiency and Load Balancing Constraints]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202501019&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[With total cost and makespan as optimization objectives， based on the Non-dominated Sorting Genetic Algorithm （NSGA-II） framework， the algorithm was improved by using multi-crossover operation fusion strategy and constraint handling techniques， and a distributed flexible flow shop scheduling model that combines loading efficiency and load balancing constraints was constructed in this study. According to the actual data sourced from a household paper manufacturing enterprise which configured a typical distributed flexible flow shop， several examples of simulation experiments were generated to verify the effectiveness and superiority of the improved algorithm. The results showed that compared with NSGA-II， the production scheduling scheme obtained from improved NSGA-II had an average total cost reduction of about 1.91% and an average makespan reduction of about 4.47%.]]></description>
<pubDate>2025/3/26 0:00:00</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[ZHONG Meisong,ZENG Zhiqiang]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHONG Meisong,ZENG Zhiqiang</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202501019&flag=1]]></guid><cfi:id>6</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Fault Diagnosis Method of Paper Machine Bearings for Variable Working Conditions Based on Parallel Heterogeneous Network in Small Samples]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202501020&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In practical applications， the traditional paper machine bearing fault diagnosis model has problems， such as decreased accuracy in fault diagnosis under variable working conditions due to the small amount of fault vibration signal data and low proportion of effective signal information. In response to this issue， this project proposed a fault diagnosis method of paper machine bearings for variable working conditions based on parallel heterogeneous network in small samples. Firstly， the source and target domain signals were converted into corresponding Gram angle field matrix， Markov transition field matrix， and Euclidean distance matrix， respectively. The obtained three matrices were cross combined row by row and used as network inputs. Secondly， based on convolutional neural network （CNN）， 2D-CNN was improved by designing a multi-channel parallel heterogeneous network that integrated attention mechanism to automatically extract deep features of signals. Then， based on adversarial thinking， domain discriminators and classifiers were designed to align the feature edge distributions of the two domains through multi kernel maximum mean difference （MK-MMD）， achieving recognition of bearing faults under variable operating conditions. Finally， transfer learning experiments were conducted to verify the data collected from the Case Western Reserve University rolling bearing dataset， and the laboratory self-built paper machine bearing fault simulation platform. The results indicated that the paper machine bearing fault transfer learning network model had excellent feature mining ability and high recognition accuracy for paper machine bearing faults under variable operating conditions.]]></description>
<pubDate>2025/3/26 0:00:00</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[TANG Wei,YANG Yijun,WANG Mengxiao,LIU Yingwei]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>TANG Wei,YANG Yijun,WANG Mengxiao,LIU Yingwei</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202501020&flag=1]]></guid><cfi:id>5</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research on Multi-Objective Optimization Approach for Distributed Flexible Flow Shop Scheduling with Integration of Third-Party Warehousing]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202602021&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[A mixed-integer programming model integrating production scheduling， warehouse allocation， and vehicle routing was developed for the collaborative optimization problem of distributed flexible flow shops and third-party warehousing logistics in the paper industry， aimed to minimize total operational cost， total carbon emissions， and order delivery tardiness simultaneously. To solve these problems， an adaptive dynamic archive-based multi-objective optimization with sub-population synergy was proposed， which was termed ADAMS. By establishing a heterogeneous collaborative framework and a dynamic population decomposition mechanism， the algorithm incorporated differentiated evolutionary operators and an elite pool strategy， effectively balancing convergence speed and solution diversity under high-dimensional and strongly constrained conditions. The simulation experimental results on 30 real-world industrial instances showed that the hypervolume metric of ADAMS algorithm improved by an average of 12.5% compared with benchmark algorithms. By integrating a “distance superiority” warehouse selection mechanism with a capacity-constrained greedy routing strategy， the proposed algorithm achieved coordinated optimization of total cost， carbon emissions， and delivery tardiness in order-scale scenarios ranging from 100 to 390 orders. The results further demonstrated the superiority of ADAMS algorithm in terms of convergence performance and solution diversity for high-dimensional strongly constrained collaborative scheduling of production and logistics.]]></description>
<pubDate>2026/6/18 21:51:40</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[WANG Tianlei,MO Jinpeng,ZENG Zhiqiang]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>WANG Tianlei,MO Jinpeng,ZENG Zhiqiang</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202602021&flag=1]]></guid><cfi:id>4</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[AMESim Simulation Analysis and Optimization Design of the Hydraulic System for the Primary Arm of Winder]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202602022&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[During the process of lowering the paper roll onto the guide rail in a wide-web high-speed paper winding machine， the hydraulic cylinder of the primary arm was prone to uncontrolled movement and increased inertial impact， which could lead to collisions between the paper roll and the guide rail as well as hydraulic shock.In this study， a hydraulic system model established via AMESim software was adopted for simulation analysis， which identified that the substantial increase in load mass （from approximately 5 000 kg to 50 000 kg） is the root cause leading to rail collision of the paper roll and hydraulic shock generation. It was revealed that the core problem lies in the insufficient dynamic response of the conventional hydraulic control system under high-load operating conditions. Accordingly， an optimized scheme was proposed by adding a buffer branch combined with stepwise pressure relief control. Simulation results demonstrated that the proposed optimization strategy could significantly reduce the instantaneous collision velocity between the paper roll and the guide rail from -14.0 mm/s to -6.7 mm/s， with a reduction rate of 52%. Furthermore， field applications on actual equipment had verified the effectiveness of the optimized scheme. The modified system basically eliminated impact phenomena， and the quality of paper rolls met industrial production requirements.]]></description>
<pubDate>2026/6/18 21:51:41</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[LIN Haichen,ZHANG Enci,CAI Chilan]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>LIN Haichen,ZHANG Enci,CAI Chilan</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202602022&flag=1]]></guid><cfi:id>3</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Modeling and Industrial Validation for the Energy System of eTAD Tissue Paper Machines]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202601019&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Based on the structural characteristics of the eTAD tissue machine， this study established a mechanism model for its energy system to describe the energy transfer process and the internal relationship between key process parameters and energy consumption， and verified the reliability of the model using continuous operation data. The results showed that the mean absolute percentage errors （MAPE） of the vacuum roll fan power consumption， wet paper web moisture content before the Yankee cylinder， natural gas flow rate， and Yankee cylinder drying rate were 1.80%， 4.18%， 6.62%， and 2.81%， respectively. After correction， the MAPE values of the predicted steam flow rates for both the small dryer and the Yankee cylinder were within 3%. The model had certain reliability and could provide a reference for energy consumption regulation and process optimization.]]></description>
<pubDate>2026/3/20 12:41:07</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[LIAO Yuan,MAN Yi]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>LIAO Yuan,MAN Yi</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202601019&flag=1]]></guid><cfi:id>2</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Machine Vision Based Online Diagnosis Methods for Web Surfacial Defects: A Review]]></title>
<link><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202601020&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This paper focused on online diagnosis methods for surfacial defects in specialty paper. The fundamental principles and general workflow of online paper defect diagnosis based on machine vision technology were outlined. A comprehensive review of key technologies was provided， including hardware architecture and core equipment for real-time acquisition of paper image data， image data preprocessing algorithms （mainly including feature extraction， image enhancement， and image decomposition and reconstruction algorithms）， paper defect determination algorithms （mainly including grayscale feature-based， morphological feature-based， and deep learning-based algorithms）， and paper defect recognition algorithms （mainly including feature analysis-based and machine learning-based algorithms）. Additionally， this paper introduced performance evaluation metrics and post-processing techniques for online paper defect diagnosis algorithms. Finally， it analyzed the key issues and challenges in current industrial applications of web defect diagnosis technology and provided insights into future development trends.]]></description>
<pubDate>2026/3/20 12:41:08</pubDate>
<category><![CDATA[Papermaking Equipment and Control Automation]]></category>
<author><![CDATA[TANG Wei,ZHOU Guoqing,LIU Yan,KANG Jie,WANG Mengxiao]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>TANG Wei,ZHOU Guoqing,LIU Yan,KANG Jie,WANG Mengxiao</atom:name>
</atom:author>
<guid><![CDATA[http://zgzzxb.ijournals.cn/zzxben/ch/reader/view_abstract.aspx?file_no=202601020&flag=1]]></guid><cfi:id>1</cfi:id><cfi:read>true</cfi:read></item>
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