Automation, Control and Intelligent Systems

Volume 12, Issue 2, June 2024

  • Research Article

    Machine Learning Framework for Real-Time Pipeline Anomaly Detection and Maintenance Needs Forecast Using Random Forest and Prophet Model

    Obi Chukwuemeka Nwokonkwo, Nwankwo Uchechukwu Samuel, Udoka Felista Eze, Adetokunbo MacGregor John-Otumu*

    Issue: Volume 12, Issue 2, June 2024
    Pages: 22-34
    Received: 29 June 2024
    Accepted: 19 July 2024
    Published: 31 July 2024
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    Abstract: This paper introduces an Intelligent Model for Real-Time Pipeline Monitoring and Maintenance Prediction to enhance infrastructure integrity and operational efficiency in Nigeria's oil and gas sector. Given the country's economic dependence on oil and gas revenue, efficient pipeline transportation is crucial. However, pipelines face challenges such ... Show More