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Complex Systems in Engineering (Paperback)
Loot Price: R1,548
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Complex Systems in Engineering (Paperback)
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Maturity of scientific theories has facilitated creation of
advanced technology of human-engineered complex systems. A major
challenge in these systems is online detection of behavioral
uncertainties due to gradual evolution of anomalies (i.e.,
deviations from the nominal condition). These anomalies may alter
the quasi-static behavior that causes performance degradation and
can eventually lead to catastrophic failures. Therefore, for safe
and reliable operation, it is essential to develop robust
analytical tools for online degradation monitoring and for
generating advanced warnings of emerging anomalies. Since it is
often infeasible to achieve the required modeling accuracy due to
the presence of i) high dimensionality, ii) non-stationarity
(possibly chaotic behavior), iii) nonlinearity, and iv) exogenous
disturbances, time series analysis of appropriate sensor data
provides one of the most powerful tools for degradation monitoring
of complex systems. This book presents a data-driven pattern
identification methodology, built upon multidisciplinary concepts
of Symbolic Dynamics, Automata Theory and Information Theory, with
diverse applications to complex electromechanical systems.
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