AI-Powered Predictive Maintenance in Petrochemical Equipment

Ravi Samikannu, Raguvaran S., Vishnu Kumar Kaliappan, R. Dhivya

Abstract


AI-powered predictive maintenance is transforming the maintenance strategies employed in petrochemical equipment, significantly enhancing operational reliability and efficiency. This paper examines the methodologies and technologies utilized in AI-driven predictive maintenance systems, focusing on their applications in failure prediction, maintenance scheduling, and resource optimization. By presenting case studies, the paper highlights the benefits of predictive maintenance, including reduced downtime, lower maintenance costs, and extended equipment lifespan. Additionally, the challenges of implementing AI technologies in petrochemical maintenance are discussed, along with future prospects for their integration into operational frameworks.

Keywords


AI, predictive maintenance, petrochemical equipment, operational efficiency.

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