Probabilistic modeling of system performance, built primarily on the foundation of reliability theory, is referred to as reliability-based modeling.
This book progressively builds up the functional complexity of system modeling. It starts by modeling the simplest system that can be designed, and then moves to the functional modeling of the multi-state system, step-by-step.
Reliability-based Modeling of System Performance deals with modeling the functioning of systems by presenting its concepts, methods and mathematical tools. It is accessible to engineering students and academics who have already acquired basic knowledge of probability theory, applied statistics, differential calculus, integrals, combinatorial calculus and Boolean algebra.
1. Basic Notions.
2. Modeling of Multistate Systems.
3. Matrix-like System.
4. Modeling of Systems with Redundancy.
5. System Reliability – Application.
6. Sequential Events – Modeling and Analysis.
7. The Monte Carlo Simulation Method.
8. Physical Tests used in Reliability.
Abdelkhalak El Hami is a university professor at INSA Rouen Normandie, France. He specializes in optimization, reliability and AI of multi-physical systems.
Mohamed Eid is an associate professor at INSA Rouen Normandie, France. He is an expert in complex, multidisciplinary and multi-sectoral system performance modeling.
Table of Contents
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