Artificial Intelligence in Predictive Maintenance of Engineering Systems

Artificial Intelligence (AI) is revolutionizing predictive maintenance by enhancing the reliability and efficiency of engineering systems. This paper examines the integration of AI technologies such as machine learning, deep learning, and natural language processing to predict equipment failures and optimize maintenance schedules. Through advanced data analytics, AI enables real-time monitoring, anomaly detection, and accurate failure prediction, minimizing downtime and operational costs. The study alsoaddresses challenges including data quality, algorithmic complexity, and system integration, and highlights potential advancements in AI-driven predictive maintenance. The findings underscore the transformative role of AI in improving the lifecycle management of engineering systems.