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Reliability is a fundamental criterium in engineering systems. This
book shows innovative concepts and applications of mathematics in
solving reliability problems. The contents address in particular
the interaction between engineers and mathematicians, as well as
the cross-fertilization in the advancement of science and
technology. It bridges the gap between theory and practice to aid
in practical problem-solving in various contexts.
Reliability Modeling with Industry 4.0 explores the emerging
theoretical and practical developments in reliability engineering
in highly digitized industries, including power, computer systems,
railway systems, and robotics. Drawing on leading research from
around the globe, as well as the latest in industry practice, this
book provides cutting edge advice on how to integrate a fully
digitized industry 4.0 system for enhanced reliability and reduced
maintenance cost. Technologies such as big data, artificial
intelligence, and the industrial internet of things are addressed
in the context of reliability engineering, providing practical
advice on applications.
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