Machine Reliability Optimization by Genetic Algorithm Approach
| Autor: | Nzie Wolfgang, Ngnassi Djami Aslain Brisco, Doka Yamigno Serge |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Global Journal of Researches in Engineering. :35-40 |
| ISSN: | 2249-4596 0975-5861 |
| DOI: | 10.34257/gjreavol20is2pg35 |
| Popis: | To define the reliability network of a system (machine), we start with a set of components arranged in an appropriate topology (series, parallel, or parallel-series), choose the best terms of the ratio performance / cost, and gather by links with the aim to combine them. This process requires a long time and effort, given the very large number of possible combinations, which becomes tedious for the analyst. For this reason, it is essential to use an appropriate optimization approach when designing any product. However, before trying to optimize, it is necessary to have a reliability assessment method. The objective of this paper is to display a meta-heuristic method, which is sustained on the genetic algorithm (GA) to improve the machines reliability. To achieve this objective, a methodology that consists of presenting the functionalities of genetic algorithms is developed. The result achieved is the proposal of a reliability network for the optimal solution. |
| Databáze: | OpenAIRE |
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