基于神经网络的装备可靠性与维修费相关性建模  

Modeling about Relativity Between Equipment Reliability and Maintenance Costs Based on Neural Network

作　　者：黄书峰[1] 徐宗昌[1] 李博[1] 唐雪琴[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《系统仿真学报》2011年第8期1541-1544,共4页Journal of System Simulation

摘　　要：维修费用在装备全寿命周期费用中的比例很大,可靠性是装备的主要特性之一,二者存在着密切的联系。运用神经网络的方法,针对某型装甲车辆的故障以及维修费用数据,对装备维修费用与可靠性之间的关系进行了深入地研究,建立了二者的相关性模型。研究成果对于可靠性设计和维修费用控制都具有重要意义。Maintenance costs have a great proportion in the life cycle cost of equipment.Reliability is one of the main features of the equipment.They are closely linked.The relationship between equipment maintenance cost and reliability was studied in-depth by considering fault data and maintenance cost data about certain type armored vehicle.Then their relativity model was established by using the method of neural network.Research results have a very significance for reliability designing and maintenance cost controlling.

关 键 词：神经网络 可靠性 维修费用 模型 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]