Opening book details…
Can I read Stochastic Quasi-gradient Based Optimization Algorithms for Dynamic Reliability Applications on EtoBox?
Stochastic Quasi-gradient Based Optimization Algorithms for Dynamic Reliability Applications by F. Bourgeois; P.E. Labeau is a Engineering article available to read on EtoBox.
What is Stochastic Quasi-gradient Based Optimization Algorithms for Dynamic Reliability Applications about?
On one hand, PSA results are increasingly used in decision making, system management and optimization of system design. On the other hand, when severe accidental transients are considered, dynamic reliability appears appropriate to account for the complex interaction between the transitions between hardware configurations, the operator behavior and the dynamic evolution of the system. This paper presents an exploratory work in which the estimation of the system unreliability in a dynamic context is coupled with an optimization algorithm to determine the "best" safety policy. Because some reliability parameters are likely to be distributed, the cost function to be minimized turns out to be a random variable. Stochastic programming techniques are therefore envisioned to determine an optimal strategy. Monte Carlo simulation is used at all stages of the computations, from the estimation of the system unreliability to that of the stochastic quasi-gradient. The optimization algorithm is illustrated on a HNO 3 supply system.
Who reads Stochastic Quasi-gradient Based Optimization Algorithms for Dynamic Reliability Applications?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- F. Bourgeois; P.E. Labeau
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0951-8320)
- Published
- 2001
- Language
- EN
- Field
- Engineering (Physical Sciences)