Simulation Methods for Reliability and Availability of Complex Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation Methods for Reliability and Availability of Complex Systems write by Javier Faulin. This book was released on 2010-04-22. Simulation Methods for Reliability and Availability of Complex Systems available in PDF, EPUB and Kindle. Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.
The Monte Carlo Simulation Method for System Reliability and Risk Analysis
The Monte Carlo Simulation Method for System Reliability and Risk Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Monte Carlo Simulation Method for System Reliability and Risk Analysis write by Enrico Zio. This book was released on 2012-11-02. The Monte Carlo Simulation Method for System Reliability and Risk Analysis available in PDF, EPUB and Kindle. 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.
Advances in System Reliability Engineering
Advances in System Reliability Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in System Reliability Engineering write by Mangey Ram. This book was released on 2018-11-24. Advances in System Reliability Engineering available in PDF, EPUB and Kindle. Recent Advances in System Reliability Engineering describes and evaluates the latest tools, techniques, strategies, and methods in this topic for a variety of applications. Special emphasis is put on simulation and modelling technology which is growing in influence in industry, and presents challenges as well as opportunities to reliability and systems engineers. Several manufacturing engineering applications are addressed, making this a particularly valuable reference for readers in that sector. - Contains comprehensive discussions on state-of-the-art tools, techniques, and strategies from industry - Connects the latest academic research to applications in industry including system reliability, safety assessment, and preventive maintenance - Gives an in-depth analysis of the benefits and applications of modelling and simulation to reliability
Uncertainty in Engineering
Uncertainty in Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty in Engineering write by Louis J. M. Aslett. This book was released on 2022. Uncertainty in Engineering available in PDF, EPUB and Kindle. This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.
Systems Modeling: Methodologies and Tools
Systems Modeling: Methodologies and Tools - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Systems Modeling: Methodologies and Tools write by Antonio Puliafito. This book was released on 2018-10-16. Systems Modeling: Methodologies and Tools available in PDF, EPUB and Kindle. This book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that designers and practitioners must confront to ensure the reliability, availability, and performance of systems, with special focus on their dynamic behaviors and dependencies. Topics include network calculus, workload and scheduling; simulation, sensitivity analysis and applications; queuing networks analysis; clouds, federations and big data; and tools. This collection of recent research exposes system researchers, performance analysts, and practitioners to a spectrum of issues so that they can address these challenges in their work.
