Optimizing Maintenance Costs/Reliability of Technical System Using Genetic Algorithms

Adriána Libošvárová; Peter Schreiber; Oliver Moravčik

doi:10.4028/www.scientific.net/AMM.421.878

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 421Optimizing Maintenance Costs/Reliability of...

Optimizing Maintenance Costs/Reliability of Technical System Using Genetic Algorithms

Abstract:

The main goal of the paper is to provide a drawn up methodic for proposal of technical system optimization in terms of maximizing its reliability at given sum of financial costs or minimizing finance to achieve set reliability. The system reliability, respectively causal relationships between system failures and its elements faults are analyzed and illustrated by using special method called fault tree analysis (FTA) and technical system is represented by fault trees. Subsequently, the genetic algorithms are appropriately applied on the constructed diagram. The part of this paper is the proposal and description of individual steps of genetic algorithm in order to optimize fault tree analysis.

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Periodical:

Applied Mechanics and Materials (Volume 421)

Pages:

878-882

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.421.878

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Online since:

September 2013

Authors:

Adriána Libošvárová, Peter Schreiber, Oliver Moravčik

Keywords:

Crossover, Fault Tree, Fault Tree Analysis (FTA), Genetic Algorithm (GA), Logic Gate, Mutation, Objective Function, Selection, Undesired Event

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References

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