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Simulation Methods for Reliability and Availability of Complex Systems

2010-04-22 Computers
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Release : 2010-04-22
Genre : Computers
Kind : eBook
Book Rating : 138/5 ( reviews)

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Book Synopsis Simulation Methods for Reliability and Availability of Complex Systems by : Javier Faulin

Download or read book Simulation Methods for Reliability and Availability of Complex Systems written by Javier Faulin. This book was released on 2010-04-22. Available in PDF, EPUB and Kindle. Book excerpt: 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

2012-11-02 Technology & Engineering
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Release : 2012-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 887/5 ( reviews)

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Book Synopsis The Monte Carlo Simulation Method for System Reliability and Risk Analysis by : Enrico Zio

Download or read book The Monte Carlo Simulation Method for System Reliability and Risk Analysis written by Enrico Zio. This book was released on 2012-11-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Reliability and Maintenance of Complex Systems

2013-06-29 Computers
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Release : 2013-06-29
Genre : Computers
Kind : eBook
Book Rating : 740/5 ( reviews)

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Book Synopsis Reliability and Maintenance of Complex Systems by : Süleyman Özekici

Download or read book Reliability and Maintenance of Complex Systems written by Süleyman Özekici. This book was released on 2013-06-29. Available in PDF, EPUB and Kindle. Book excerpt: Complex high-technology devices are in growing use in industry, service sectors, and everyday life. Their reliability and maintenance is of utmost importance in view of their cost and critical functions. This book focuses on this theme and is intended to serve as a graduate-level textbook and reference book for scientists and academics in the field. The chapters are grouped into five complementary parts that cover the most important aspects of reliability and maintenance: stochastic models of reliability and maintenance, decision models involving optimal replacement and repair, stochastic methods in software engineering, computational methods and simulation, and maintenance management systems. This wide range of topics provides the reader with a complete picture in a self-contained volume.

Advances in System Reliability Engineering

2018-11-24 Technology & Engineering
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Release : 2018-11-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 724/5 ( reviews)

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Book Synopsis Advances in System Reliability Engineering by : Mangey Ram

Download or read book Advances in System Reliability Engineering written by Mangey Ram. This book was released on 2018-11-24. Available in PDF, EPUB and Kindle. Book excerpt: 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

2022
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Release : 2022
Genre :
Kind : eBook
Book Rating : 401/5 ( reviews)

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Book Synopsis Uncertainty in Engineering by : Louis J. M. Aslett

Download or read book Uncertainty in Engineering written by Louis J. M. Aslett. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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