摘要
采用变精度粗糙集理论挖掘系统状态信息与各单元性能参数的内在关系是解决复杂可修系统维修决策问题的一种客观量化方法。鉴于该类方法对连续型数据进行离散化处理过程中普遍存在的问题,本文提出了一种SOM网络离散化方法,采用该方法能够有效地解决断点设置的难题,并相应提高了该决策算法的精度。以CF6型航空发动机为例,应用该方法得到了用于判断发动机单元体维修等级、可信度较高的决策规则,从而为发动机工程师制订维修决策提供了重要的依据。
We study the maintenance decision-making of a complex repairable system by using variable precision rough set (VPRS) theory to determine the relation between condition information and performance parameters of a system. We present a discretization method based on an SOM ( Serf-Organizing Maps) network after considering the discretization problem for continuous data. The problem of confirming thresholds is effectively solved by this meth- od. CF6 aero-engine is taken as an example for case study to produce some decision rules by using the method. These decision rules supply an important evidence for aero-engine engineers to decide its modules for a proper maintenance level.
出处
《机械科学与技术》
CSCD
北大核心
2008年第10期1132-1135,共4页
Mechanical Science and Technology for Aerospace Engineering