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Simulation Methods for Reliability and Availability of Complex Systems

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Cover of 'Simulation Methods for Reliability and Availability of Complex Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Reliability Estimation by Advanced Monte Carlo Simulation
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    Chapter 2 Dynamic Fault Tree Analysis: Simulation Approach
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    Chapter 3 Analysis and Improvements of Path-based Methods for Monte Carlo Reliability Evaluation of Static Models
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    Chapter 4 Variate Generation in Reliability
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    Chapter 5 Simulation-based Methods for Studying Reliability and Preventive Maintenance of Public Infrastructure
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    Chapter 6 Reliability Models for Data Integration Systems
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    Chapter 7 Power Distribution System Reliability Evaluation Using Both Analytical Reliability Network Equivalent Technique and Time-sequential Simulation Approach
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    Chapter 8 Application of Reliability, Availability, and Maintainability Simulation to Process Industries: a Case Study
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    Chapter 9 Potential Applications of Discrete-event Simulation and Fuzzy Rule-based Systems to Structural Reliability and Availability
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    Chapter 10 Maintenance Manpower Modeling: A Tool for Human Systems Integration Practitioners to Estimate Manpower, Personnel, and Training Requirements
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    Chapter 11 Application of Monte Carlo Simulation for the Estimation of Production Availability in Offshore Installations
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    Chapter 12 Simulation of Maintained Multicomponent Systems for Dependability Assessment
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    Chapter 13 Availability Estimation via Simulation for Optical Wireless Communication
Attention for Chapter 12: Simulation of Maintained Multicomponent Systems for Dependability Assessment
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Citations

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Chapter title
Simulation of Maintained Multicomponent Systems for Dependability Assessment
Chapter number 12
Book title
Simulation Methods for Reliability and Availability of Complex Systems
Published by
Springer, London, January 2010
DOI 10.1007/978-1-84882-213-9_12
Book ISBNs
978-1-84882-212-2, 978-1-84882-213-9
Authors

Valérie Zille, Christophe Bérenguer, Antoine Grall, Antoine Despujols

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 2 40%
Unknown 1 20%
Readers by discipline Count As %
Engineering 2 40%
Decision Sciences 1 20%
Mathematics 1 20%
Unknown 1 20%