Artificial Intelligence in Predictive Maintenance Systems
Keywords:
artificial intelligence, predictive maintenance, machine learning, operational efficiency, data integrationAbstract
This paper examines the role of artificial intelligence (AI) in the development and enhancement of predictive maintenance systems. It highlights how AI technologies, including machine learning and deep learning, can predict equipment failures and optimize maintenance schedules. The study reviews case studies where AI has improved operational efficiency and reduced costs in industries like manufacturing and transportation. Challenges such as data integration and the need for skilled personnel are also discussed. Future trends in AI-driven maintenance systems are explored, providing insights into the potential for AI to revolutionize maintenance strategies.
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