Leveraging AI in the Manufacturing Industry for Predictive Maintenance: A Technical Perspective

Alok Singh

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 2, 3258-3267

Abstract: This technical article explores the transformative role of artificial intelligence in revolutionizing predictive maintenance practices across the manufacturing industry. By examining the integration of Internet of Things sensor networks with sophisticated machine learning algorithms, the article demonstrates how manufacturers can transition from traditional reactive maintenance approaches to proactive failure prediction systems. The discussion encompasses the technical infrastructure required for implementation, analytical models that drive accurate predictions, integration challenges with existing manufacturing systems, and methods for quantifying return on investment. Through examination of real-world applications and emerging technologies, the article provides a comprehensive framework for understanding how AI-enabled predictive maintenance solutions enhance operational efficiency, extend equipment lifespan, and deliver significant maintenance cost reductions in industrial environments.

Keywords: Artificial Intelligence; Predictive Maintenance; Internet of Things; Machine Learning; Manufacturing Optimization (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112804
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i2:id:1371

DOI: 10.32628/CSEIT25112804

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