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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network
ANOMALY DETECTION AND SAFETY CONTROL OF CYBER-PHYSICAL SYSTEMS FOR MAJOR EQUIPMENT | 更新时间:2024-11-22
    • Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network

    • 在聚合物挤出领域,专家提出了基于多源数据融合与CNN-LSTM的熔体密度监测方法,显著提高了实时监测精度,为聚合物质量控制提供技术支持。
    • Advanced Engineering Sciences   Vol. 56, Issue 6, Pages: 54-62(2024)
    • DOI:10.12454/j.jsuese.202301065    

      CLC: TP183;TQ320.66
    • Published:20 November 2024

      Published Online:20 June 2024

      Received:26 December 2023

      Revised:04 May 2024

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  • Zhang Binbin,Chen Zhuyun,Zhang Fei,et al.Melt density monitoring of extruder extrusion process based on multi-source data fusion and convolutional long short-term memory neural network[J].Advanced Engineering Sciences,2024,56(6):54–62 DOI: 10.12454/j.jsuese.202301065.

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ZHANG Binbin
CHEN Zhuyun
ZHANG Fei
JIN Gang

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National Eng. Research Center of Novel Equipment for Polymer Processing, South China University of Technology
Lab. of Polymer Processing Eng. of Ministry of Education, South China University of Technology, Guangzhou
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