Artificial Intelligence Applications in Modern Engineering Systems

Artificial intelligence (AI) has emerged as a transformative force in modern engineering, reshaping design, analysis, operation, and maintenance of complex systems across multiple disciplines. By leveraging machine learning, deep learning, expert systems, and predictive analytics, engineers are able to optimize performance, enhance resilience, and reduce operational costs. This paper explores the diverse applications of AI in mechanical, civil, electrical, and environmental engineering, highlighting its role in predictive maintenance, smart manufacturing, structural health monitoring, energy management, water resource optimization, and environmental modelling. Additionally, the study examines the technical, ethical, and organizational challenges associated with integrating AI into engineering workflows, including data quality, cybersecurity, human–machine collaboration, and policy considerations. The paper concludes by identifying future research directions that emphasize interdisciplinary integration, explainable AI, and sustainable engineering practices. The analysis underscores that AI is not merely a computational tool but a strategic enabler that transforms engineering systems, fosters innovation, and supports resilient, efficient, and sustainable infrastructure and industrial operations.

Artificial Intelligence Machine Learning Predictive Maintenance Smart Manufacturing Structural Health Monitoring Smart Grid Environmental Engineering Engineering Optimization Sustainable Engineering

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