Essays about: "Industrial Control System"

Showing result 1 - 5 of 324 essays containing the words Industrial Control System.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE

  3. 2. Techno-Economic Analysis of Dye Separation in Textile Recycling

    University essay from Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Author : David Lundberg; [2024]
    Keywords : Dye; Membrane filtration; Electrocoagulation; Techno-economic analysis; Pre-feasibility study; Technology and Engineering;

    Abstract : This study determines the technical and economic feasibility of separating dye from a process filtrate in industrial textile recycling using electrocoagulation or sequences of membrane filtration with microfiltration, ultrafiltration, nanofiltration and reverse osmosis. The lower requirements for treating this stream, compared to previously researched dyehouse effluents, left treatments not good enough for dyehouses viable for this process filtrate. READ MORE

  4. 3. Status Mapping of tank to grave management of Low-GWP refrigerants.

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sandra Parra Gimeno; [2023]
    Keywords : Refrigerant; Blends; Synthetic low-GWP refrigerant; Natural refrigerant; Global Warming Potential GWP ; Tank-to-grave; Interviews.; Köldmedier; Blandning; Globalt uppvärmningspotential GWP ; Låg-GWP köldmedier; Naturligt köldmedier; installation till destruktion; Intervjuer.;

    Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE

  5. 4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Niklas Barth; [2023]
    Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

  6. 5. Enabling cyber-physical system for manufacturing systems using augmented reality

    University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Author : Pablo Beigveder Durante; [2023]
    Keywords : Augmented reality; IoT; big data; sustainable manufacturing; industry 4.0;

    Abstract : This project focuses on addressing the challenges faced by manufacturing lines such as complexity and flexibility through the integration of Augmented Reality (AR), Internet of Things (IoT), and Big Data technologies. The objective is to develop a framework that enhances the efficiency, flexibility, and sustainability of manufacturing processes in the context of Industry 4. READ MORE