Reliability Modelling and Analysis for Complex Systems

Dear Colleagues,

Reliability is an important issue during the development of a variety of systems or products, e.g., automobiles, airplanes, semiconductors, and power plants, which ensures that a system’s performance is maintained over a specified period of time in specific environments. As technology evolves, system complexity increases, and the evaluation of systems’ reliability, which remains an important area of research, has started to attract the attention of system engineers. To evaluate a system’s reliability within a relatively short time, engineers use physical or empirical test methods (e.g., accelerated life tests, accelerated degradation tests), then decide whether the system satisfies its requirements. Once the system is launched and used in the field, failure data or maintenance data are collected, so improvements can be made to maximize the system’s reliability and minimize operation costs. To this end, maintenance modelling aims to optimally balance the cost of maintenance and the reliability of complex systems. It provides a cost-driven mathematical basis to help keep the system of interest sustainable at a desired level.

Nowadays, innovative tools for reliability analysis and decision-making in the design, operation, and maintenance of engineering systems are developing for the safe, reliable, and effective operation of these systems. This Special Issue on “Reliability Modelling and Analysis for Complex Systems” presents a platform where researchers from academy and industry can present methodologies of coping with the uncertainties in reliability modeling and evaluation for complex systems through the use of concepts and various techniques, life tests, parametric or nonparametric methods, resampling methods (e.g., Monte Carlo simulation, bootstrapping), system reliability concepts, maintenance scheduling, Markov chain, Stochastic process, etc.

Prof. Dr. Suk Joo Bae
Guest Editor

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