Simulation Methods For Reliability And Availability Of Complex Systems
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| Author | : Javier Faulin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 324 |
| Release | : 2010-04-22 |
| Genre | : Computers |
| ISBN | : 1848822138 |
Download Simulation Methods for Reliability and Availability of Complex Systems Book 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.
| Author | : Süleyman Özekici |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 597 |
| Release | : 2013-06-29 |
| Genre | : Computers |
| ISBN | : 3662032740 |
Download Reliability and Maintenance of Complex Systems Book in PDF, Epub and Kindle
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.
| Author | : Enrico Zio |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 204 |
| Release | : 2012-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1447145887 |
Download The Monte Carlo Simulation Method for System Reliability and Risk Analysis Book 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.
| Author | : Gilberto Francisco Martha de Souza |
| Publisher | : Elsevier |
| Total Pages | : 316 |
| Release | : 2021-09-24 |
| Genre | : Business & Economics |
| ISBN | : 0128235225 |
Download Reliability Analysis and Asset Management of Engineering Systems Book in PDF, Epub and Kindle
Reliability Analysis and Asset Management of Engineering Systems explains methods that can be used to evaluate reliability and availability of complex systems, including simulation-based methods. The increasing digitization of mechanical processes driven by Industry 4.0 increases the interaction between machines and monitoring and control systems, leading to increases in system complexity. For those systems the reliability and availability analyses are increasingly challenging, as the interaction between machines has become more complex, and the analysis of the flexibility of the production systems to respond to machinery failure may require advanced simulation techniques. This book fills a gap on how to deal with such complex systems by linking the concepts of systems reliability and asset management, and then making these solutions more accessible to industry by explaining the availability analysis of complex systems based on simulation methods that emphasise Petri nets. Explains how to use a monitoring database to perform important tasks including an update of complex systems reliability Shows how to diagnose probable machinery-based causes of system performance degradation by using a monitoring database and reliability estimates in an integrated way Describes practical techniques for the application of AI and machine learning methods to fault detection and diagnosis problems
| Author | : Jan Pukite |
| Publisher | : John Wiley & Sons |
| Total Pages | : 290 |
| Release | : 1998-06-22 |
| Genre | : Computers |
| ISBN | : 0780334825 |
Download Modeling for Reliability Analysis Book in PDF, Epub and Kindle
"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."
| Author | : Ofelia Gonzalez-Vega |
| Publisher | : |
| Total Pages | : 394 |
| Release | : 1987 |
| Genre | : Large scale systems |
| ISBN | : |
Download A Simulation Methodology for Large Scale Reliability Systems Book in PDF, Epub and Kindle
| Author | : Enrico Zio |
| Publisher | : World Scientific |
| Total Pages | : 363 |
| Release | : 2009 |
| Genre | : Technology & Engineering |
| ISBN | : 9812839011 |
Download Computational Methods for Reliability and Risk Analysis Book in PDF, Epub and Kindle
This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.
| Author | : Amit Kumar |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 239 |
| Release | : 2021-05-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3110617544 |
Download Systems Reliability Engineering Book in PDF, Epub and Kindle
Reliability is one of the fundamental criteria in engineering systems. Design and maintenance serve to support it throughout the systems life. As such, maintenance acts in parallel to production and can have a great impact on the availability and capacity of production and the quality of the products. The authors describe current and innovative methods useful to industry and society.
| Author | : Corinne P. Mimouni |
| Publisher | : |
| Total Pages | : 118 |
| Release | : 1986 |
| Genre | : |
| ISBN | : |
Download Simulation and Antithetic Variates Techniques for Computing and Validating the Reliability of Complex Systems Book in PDF, Epub and Kindle
| Author | : Louis J. M. Aslett |
| Publisher | : Springer Nature |
| Total Pages | : 148 |
| Release | : 2022 |
| Genre | : |
| ISBN | : 3030836401 |
Download Uncertainty in Engineering Book 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.
