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Monte Carlo simulation is one of the best tools
for performing realistic analysis of complex systems as it allows most
of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively
illustrates the Monte Carlo simulation method and its application to
reliability and system engineering. Readers are given a sound
understanding of the fundamentals of Monte Carlo sampling and simulation
and its application for realistic system modeling.
Whilst many of
the topics rely on a high-level understanding of calculus, probability
and statistics, simple academic examples will be provided in support to
the explanation of the theoretical foundations to facilitate
comprehension of the subject matter. Case studies will be introduced to
provide the practical value of the most advanced techniques.
This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a
key reference for senior undergraduate and graduate students as well as
researchers and practitioners. It provides a powerful tool for all
those involved in system analysis for reliability, maintenance and risk
evaluations.
Categories:Engineering - Mechanical Engineering & Dynamics
Year:2013
Edition:1
Language:english
Pages:202
