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Abstract: Predictive Maintenance (PdM) stands as a revolutionary approach in industrial systems, effectively mitigating the limitations of conventional reactive maintenance strategies. In an era characterized by hyper-connectivity and data-centric operations, the incorporation of Artificial Intelligence (AI) has fundamentally transformed asset management practices. This transformation enhances operational efficiency and significantly reduces costly downtimes. This paper examines PdM, emphasizing its capacity to leverage AI in processing extensive data streams generated by sensors and equipment. Through precise failure predictions, this method enables proactive and cost-effective maintenance interventions, thereby optimizing system reliability and performance.
Sameer Nadaf (Fri,) studied this question.