Foreword by David Coit | 02 Pages |
Preface | 04 Pages |
Part I : Fundamentals of Simulation in Reliability and Availability Issues |
Chapter 1 | Reliability Estimation by Advanced Monte Carlo Simulation | 37 Pages |
Chapter 2 | Dynamic Fault Tree Analysis: Simulation Approach | 24 Pages |
Chapter 3 | Analysis and Improvements of Path-based Methods for Monte Carlo Reliability Evaluation of Static Models | 20 Pages |
Chapter 4 | Variate Generation in Reliability | 19 Pages |
Part II :Simulation Applications in Reliability |
Chapter 5 | Simulation-based Methods for Studying Reliability and Preventive Maintenance of Public Infrastructure | 15 Pages |
Chapter 6 | Reliability Models for Data Integration Systems | 22 Pages |
Chapter 7 | Power Distribution System Reliability Evaluation using both Analytical Reliability Network Equivalent Technique and Time-sequential Simulation Approach | 28 Pages |
Chapter 8 | Application of Reliability, Availability, and Maintainability Simulation to Process Industries: A Case Study | 25 Pages |
Chapter 9 | Potential Applications of Discrete-event Simulation and Fuzzy Rule-based Systems to Structural Reliability and Availability | 17 Pages |
Part III :Simulation Applications in Availability and Maintenance |
Chapter 10 | Maintenance Manpower Modelling: A Tool for Human Systems Integration Practitioners to Estimate Manpower, Personnel, and Training Requirements | 16 Pages |
Chapter 11 | Application of Monte Carlo Simulation for the Estimation of Production Availability in Off-Shore Installations | 20 Pages |
Chapter 12 | Simulation of Maintained Multi-component Systems for Dependability Assessment | 20 Pages |
Chapter 13 | Availability Estimation via Simulation for Optical Wireless Communication | 23 Pages |
About Editors and Contributors | 13 Pages |
Index | 05 Pages |
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The book is a collection of several chapters written by specialists, who have published papers in specific areas. It is concise and comprehensive book on the subject of how to compute reliability and availability and associated parameters of interest in complex systems such as communication systems, electrical power distribution systems, process industry, structures and off-shore installations etc. The complexity of computing reliability and availability of well-connected systems can be easily understood through an example of communication system, say of a two-state network of 10 nodes, which may require as much as 245 number of states to reckon with. The reliability computation with such a large number of states is computationally unwieldy, if not impossible. The same is true for other systems as well. Therefore, the Monte Carlo Simulation (MCS) becomes the most practical method for computing reliability and availability of such complex systems. Particularly, with repairable system the usual analytical methods may not be feasible to provide a reasonable estimate of the reliability/ availability parameters. This book therefore serves a very useful and practical approach to the problem. Besides, human factors can be easily included in the analysis with the simulation approach. Its organization in three parts is quite logical. Some chapters of this book provide efficiency improvement techniques and tips for simulation technique, which are very helpful with MCS. Some practical systems illustrate the approaches used in the book which makes it useful for someone trying to develop simulation approach. This book shall be found supplementary source for any researcher who intends to use MCS in his research work. The students and teachers pursuing system reliability and availability course will also find this book of interest. In general, the book would be highly useful to professional engineers dealing with reliability and availability of complex systems. - Krishna B. Misra Review published in the International Journal of Performability Engineering, Vol. 7, No. 4, July 2011, p. 326.
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