امتیاز : 7

Abstract

This paper presents an availability optimization of an engineering system assembled in a series configuration, with redundancy of units and

corrective maintenance resources as optimization parameters. The aim is to reach maximum availability, considering as constraints

installation and corrective maintenance costs, weight and volume. The optimization method uses a Genetic Algorithm based on biological

concepts of species evolution. It is a robust method, as it does not converge to a local optimum. It does not require the use of differential

calculus, thus facilitating computational implementation. Results indicate that the methodology is suitable to solve a wide range of

engineering design problems involving allocation of redundancies and maintenance resources.

  گزارش تخلف  |  افزودن به فایل های من | aymas6870 | تاریخ ارسال : 10 /07 /1393

شما هم می توانید در مورد این فایل نظر دهید.