Kyung Hee University · 工学
Professor Enrico Zio's research lab specializes in reliability, risk, and safety engineering with a focus on complex systems, particularly in the context of interconnected infrastructures. The lab develops advanced modeling and simulation techniques to analyze failure propagation, interdependencies, and system resilience under uncertainty. Research directions include fault and event tree analysis, reliability assessment of complex systems, and the integration of data-driven methods with probabilistic risk assessment. The lab also explores the impact of digitalization and big data on improving system safety and decision-making in critical infrastructures.
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Today's fast-pace evolving and digitalizing World is posing new challenges to reliability engineering. On the other hand, the continuous advancement of technical knowledge and the increasing capabilities of monitoring and computing offer opportunities for new developments in reliability engineering. In this paper, I reflect on some of these challenges and opportunities in research and application. The underlying perspective taken stands on the following: The belief that the knowledge, informatio
Basic Concepts of Safety and Risk Analysis Methods for Hazard Identification Basics of Probability Theory for Applications to Reliability and Risk Analysis Reliability of Simple Systems Availability and Maintainability Fault Tree Analysis Event Tree Analysis Estimation of Reliability Parameters from Experimental Data.
Infrastructure interdependency stems from the functional and logical relations among individual components in different distributed systems. To characterize the extent to which a contingency affecting an infrastructure is going to weaken, and possibly disrupt, the safe operation of an interconnected system, it is necessary to model the relations established through the connections linking the multiple components of the involved infrastructures. In this work, the modeling of interdependencies amo
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