Simulation Methods for Reliability and Availability of Complex Systems

Simulation Methods for Reliability and Availability of Complex Systems
Author: Javier Faulin
Publisher: Springer Science & Business Media
Total Pages: 324
Release: 2010-04-22
Genre: Computers
ISBN: 1848822138

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.

Modeling for Reliability Analysis

Modeling for Reliability Analysis
Author: Jan Pukite
Publisher: John Wiley & Sons
Total Pages: 290
Release: 1998-06-22
Genre: Computers
ISBN: 0780334825

"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."

Assessing the Reliability of Complex Models

Assessing the Reliability of Complex Models
Author: National Research Council
Publisher: National Academies Press
Total Pages: 144
Release: 2012-07-26
Genre: Mathematics
ISBN: 0309256348

Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

Computer Simulation Validation

Computer Simulation Validation
Author: Claus Beisbart
Publisher: Springer
Total Pages: 1074
Release: 2019-04-09
Genre: Computers
ISBN: 3319707663

This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer simulations, and examines philosophical frameworks for thinking about validation; provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation; describes commonly used reference points and mathematical frameworks applicable to simulation validation; reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation; presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models; covers important practical challenges faced by simulation scientists when applying validation methods and techniques; offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective. This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text.

Computational Methods For Reliability And Risk Analysis

Computational Methods For Reliability And Risk Analysis
Author: Enrico Zio
Publisher: World Scientific Publishing Company
Total Pages: 363
Release: 2009-01-22
Genre: Technology & Engineering
ISBN: 9813107421

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.

An Analysis of Accuracy of a Procedure for Computing Lower Confidence Limit on System Reliability Utilizing Subsystem Test Data

An Analysis of Accuracy of a Procedure for Computing Lower Confidence Limit on System Reliability Utilizing Subsystem Test Data
Author: Maurice Joseph Moran
Publisher:
Total Pages: 0
Release: 1968
Genre:
ISBN:

Systems which are composed of two or more phases, or subsystems, arranged in logical sequence are found frequently in industry and defense. Standard procedures for computing lower confidence limits on reliability of such systems rely on the use of system data. Engineering changes to any of these subsystems can effect the invalidation of all existing data, necessitating additional, sometimes extensive, testing. Such changes are not infrequent in complex systems. A need exists for a method of computing lower confidence limits on reliability which uses phase data. Some approximation techniques have some available. One such technique is currently being used. Computer simulation techniques are used to analyze the accuracy of this procedure. (Author).

General Monte Carlo Reliability Simulation Code Including Common Mode Failures and Harp Fault/Error-Handling

General Monte Carlo Reliability Simulation Code Including Common Mode Failures and Harp Fault/Error-Handling
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 104
Release: 2018-07-17
Genre:
ISBN: 9781723088742

A Monte Carlo Fortran computer program was developed that uses two variance reduction techniques for computing system reliability applicable to solving very large highly reliable fault-tolerant systems. The program is consistent with the hybrid automated reliability predictor (HARP) code which employs behavioral decomposition and complex fault-error handling models. This new capability is called MC-HARP which efficiently solves reliability models with non-constant failures rates (Weibull). Common mode failure modeling is also a specialty. Platt, M. E. and Lewis, E. E. and Boehm, F. Unspecified Center COMPUTERIZED SIMULATION; FAILURE; FAILURE MODES; FAULT TOLERANCE; MONTE CARLO METHOD; RELIABILITY; RELIABILITY ANALYSIS; APPLICATIONS PROGRAMS (COMPUTERS); MARKOV CHAINS; RELIABILITY ENGINEERING...

A Simulator for the Evaluation of Digital System Reliability

A Simulator for the Evaluation of Digital System Reliability
Author: Stanford University. Stanford Electronics Laboratories. Digital Systems Laboratory
Publisher:
Total Pages: 100
Release: 1977
Genre: Computer simulation
ISBN:

This report describes a simulation package designed to evaluate the reliability of digital systems. The simulator can be used to model many different types of systems, at varying levels of detail. The user is given much freedom to use the elements of the model in the way best suited to simulating the operation of a system in the presence of faults. The simulation package then generates random faults in the model, and uses a Monte Carlo analysis to obtain curves of reliability. Three examples are given of simulations of digital systems which have redundancy. The difference between this type of simulation and other simulation techniques is discussed.