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  • Open Access

    ARTICLE

    Deep Learning-Based Health Assessment Method for Benzene-to-Ethylene Ratio Control Systems under Incomplete Data

    Huichao Cao1,*, Honghe Du1, Dongnian Jiang1, Wei Li1, Lei Du1, Jianfeng Yang2

    Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1305-1325, 2025, DOI:10.32604/sdhm.2025.066002 - 05 September 2025

    Abstract In the production processes of modern industry, accurate assessment of the system’s health state and traceability non-optimal factors are key to ensuring “safe, stable, long-term, full load and optimal” operation of the production process. The benzene-to-ethylene ratio control system is a complex system based on an MPC-PID double-layer architecture. Taking into consideration the interaction between levels, coupling between loops and conditions of incomplete operation data, this paper proposes a health assessment method for the dual-layer control system by comprehensively utilizing deep learning technology. Firstly, according to the results of the pre-assessment of the system layers… More >

  • Open Access

    ARTICLE

    Real Time Automation and Ratio Control Using PLC & SCADA in Industry 4.0

    Basant Tomar*, Narendra Kumar, Mini Sreejeth

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1495-1516, 2023, DOI:10.32604/csse.2023.030635 - 03 November 2022

    Abstract Industrial Control Systems (ICS) and SCADA (Supervisory Control and Data Acquisition) systems play a critical role in the management and regulation of critical infrastructure. SCADA systems brings us closer to the real-time application world. All process and equipment control capability is typically provided by a Distributed Control System (DCS) in industries such as power stations, agricultural systems, chemical and water treatment plants. Instead of control through DCS, this paper proposes a SCADA and PLC (Programmable Logic Controller) system to control the ratio control division and the assembly line division inside the chemical plant. A specific… More >

  • Open Access

    ARTICLE

    Optimal Learning Slip Ratio Control for Tractor-semitrailer Braking in a Turn based on Fuzzy Logic

    Jinsong Donga, Hongwei Zhanga, Ronghui Zhangb,*, Xiaohong Jinc, Fang Chend

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 563-570, 2018, DOI:10.31209/2018.100000023

    Abstract The research on braking performance a of tractor-semitrailer is a hard and difficult point in the field of vehicle reliability and safety technology. In this paper, the tire braking model and the dynamic characteristic model of the brake torque with the variable of the controlling air pressure were established. We also established a nonlinear kinematic model of the tractor-semitrailer when it brakes on a curve. The parameters and variables of the model were measured and determined by the road experiment test. The optimal control strategy for the tractor-semitrailer based on the optimal slipping ratio was More >

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