Abstract: Predictive maintenance (PdM) represents a proactive approach to equipment maintenance in manufacturing, leveraging artificial intelligence (AI) to predict and prevent potential failures before they occur. This paper examines the application of AI techniques such as machine learning and data analytics in predictive maintenance strategies within manufacturing industries. By analyzing historical data and real-time sensor information, AI algorithms forecast equipment health, anticipate maintenance needs, and optimize operational efficiency. This approach aims to minimize downtime, reduce maintenance costs, and enhance overall equipment reliability, thereby improving production continuity and competitiveness in the manufacturing sector.
Keywords: Predictive maintenance, manufacturing, artificial intelligence, machine learning, equipment reliability
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DOI:
10.17148/IJARCCE.2022.111161
