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Simulation Methods for Reliability and Availability of Complex Systems
Complex systems have become ubiquitous and are essential to today's society. The design of reliable complex systems and the determination of their availability are therefore very important tasks for managers and engineers. These tasks, however, can be extremely difficult to achieve, due to the...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Springer Series in Reliability Engineering,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Fundamentals of Simulation in Reliability and Availability Issues
- Reliability Estimation by Advanced Monte Carlo Simulation
- Dynamic Fault Tree Analysis: Simulation Approach
- Analysis and Improvements of Path-based Methods for Monte Carlo Reliability Evaluation of Static Models
- Variate Generation in Reliability
- Simulation Applications in Reliability
- Simulation-based Methods for Studying Reliability and Preventive Maintenance of Public Infrastructure
- Reliability Models for Data Integration Systems
- Power Distribution System Reliability Evaluation Using Both Analytical Reliability Network Equivalent Technique and Time-sequential Simulation Approach
- Application of Reliability, Availability, and Maintainability Simulation to Process Industries: a Case Study
- Potential Applications of Discrete-event Simulation and Fuzzy Rule-based Systems to Structural Reliability and Availability
- Simulation Applications in Availability and Maintenance
- Maintenance Manpower Modeling: A Tool for Human Systems Integration Practitioners to Estimate Manpower, Personnel, and Training Requirements
- Application of Monte Carlo Simulation for the Estimation of Production Availability in Offshore Installations
- Simulation of Maintained Multicomponent Systems for Dependability Assessment
- Availability Estimation via Simulation for Optical Wireless Communication.