Leveraging AI for Predictive Maintenance in Manufacturing Systems

Abstract

This paper explores the role of artificial intelligence in predictive maintenance for manufacturing systems. By employing machine learning algorithms, we aim to predict equipment failures before they occur, thereby reducing downtime and maintenance costs. The study presents a detailed analysis of different AI models and their effectiveness in real-world manufacturing environments. Our findings suggest that AI-driven predictive maintenance can significantly enhance operational efficiency and equipment longevity. The implications of this research extend to various industries seeking to integrate AI for improved maintenance strategies.
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