Phased mission failure minimisation using optimal system design
2012-01-23T11:51:07Z (GMT) by
A phased mission system represents a system whose performance is divided into consecutive non-overlapping phases. The operation of a phased mission system can be improved by either introducing better performing components or by increasing the number of redundant components. At the same time, such design alterations can influence how available resources are utilised. The focus of this paper is to develop an optimisation method to construct an optimal design case for a phased mission system, with the aim of maximising its availability and ensuring optimal usage of available resources throughout all phases. The developed method is based on an approach where an individual phase is treated as a standard single phase system. Thus, to solve the whole phased mission optimisation problem each phase design is analysed individually, whilst dependencies between different phases are also included in the analysis in order to find the failure probability value of each phase. The implemented optimisation method employs Fault Tree Analysis (FTA) to represent system performance and Binary Decision Diagrams (BDDs) to quantify each phase failure probability. A Single Objective Genetic Algorithm (SOGA) has been chosen as the optimisation technique. A simple Unmanned Aerial Vehicle (UAV) mission has been selected to demonstrate the methods application. Results of the analysis are discussed.