How does artificial intelligence affect reliable engineering?

Abstract

The article explores the transformative impact of Artificial Intelligence (AI) on
 engineering, focusing on the evolution over the last decade. AI has become a cornerstone in
 reliable engineering, influencing various aspects such as predictive maintenance, fault
 detection, optimization, automation, and decision support. Predictive maintenance, enabled by
 AI algorithms, revolutionizes traditional approaches by analysing extensive datasets to predict
 equipment failures, allowing proactive interventions and minimizing downtime. Fault detection
 and diagnostics benefit from AI's real-time monitoring and early anomaly identification,
 reducing the risk of catastrophic failures and enhancing overall system reliability. Optimization
 of complex systems is facilitated by AI's capacity to process vast amounts of data, leading to
 improved performance and minimized resource consumption. The integration of AI in
 automation and robotics reshapes manufacturing processes, emphasizing precision and
 reliability. Simulation and modelling, data analysis, and supply chain optimization are also
 discussed as vital areas where AI contributes to enhanced reliability. The article highlights the
 importance of ethical considerations and human oversight in deploying AI responsibly,
 emphasizing a collaborative synergy between AI and human expertise for continued
 advancements in engineering solutions.