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About

Hongyan Dui is a reliability engineering researcher whose work bridges system maintenance optimization, importance measures, and robotic systems. With a career spanning over a decade, Dui has made significant contributions to the field of preventive maintenance and reliability analysis, particularly for complex multi-component industrial systems. His most-cited work, "Cost-based preventive maintenance of industrial robot system" (2023, 26 citations), demonstrates his focus on translating reliability theory into practical, economically grounded maintenance strategies for advanced manufacturing technologies. Complementing this, his research on deteriorating multi-component systems under external shocks (2023, 16 citations) addresses the real-world challenge of maintaining systems operating in unpredictable environments. Dui's interest in robotic applications extends to rehabilitation robotics, where he applies reliability and preventive maintenance frameworks to safety-critical medical devices. His earlier work on Birnbaum importance measures using Bayesian networks reflects a foundational commitment to understanding how individual component failures propagate through coherent systems. More recently, he has explored system resilience under shock events, broadening the analytical toolkit available to reliability engineers. Dui's research is particularly valuable for engineers and students seeking rigorous, cost-conscious approaches to maintaining complex industrial and medical systems.