摘要
针对复合材料结构适航维修经验知识依赖性强、知识重用困难的问题,提出了构建复合材料结构适航维修知识库这一解决方案。首先基于案例推理(Case Based Reasoning,简称"CBR")的方法系统构建了复合材料结构适航维修知识库框架。然后在复合材料结构适航维修案例组成特征分析的基础上,建立了案例表示模型,基于案例表示模型构建了案例检索的语义检索索引和属性值检索索引并设计了相应的相似性评价方法。最后定制了数字化维修模板以实现适航维修知识的应用。实验结果表明,该系统能有效重用复合材料结构适航维修知识,有利于提升适航维修的质量与可靠性。
To solve the problems encountered in airworthiness maintenance of composite component which strongly dependent on experience and the knowledge reuse,the knowledge base of composite component airworthiness maintenance was created. Firstly,the system framework was constructed based on case-based reasoning. The feature composition of airworthiness maintenance case was analyzed and the case representation model was created.The semantic retrieval index and attribute retrieval index were defined and the corresponding similarity evaluation method was designed. Finally,the knowledge application was realized by customizing the digital maintenance template. The experimental results show that the airworthiness maintenance knowledge of composite structure can be reused effectively by this knowledge base,and the quality and reliability of maintenance could also be improved.
作者
贺强
杨晓强
徐艺
HE Qiang;YANG Xiao-qiang;XU Yi(Civil Aviation Flight University of China, Guanghan 618307, China)
出处
《玻璃钢／复合材料》
CSCD
北大核心
2018年第4期62-67,共6页
Fiber Reinforced Plastics/Composites
基金
国家自然科学基金重点项目(U1233202)
中国民用航空飞行学院面上项目(J2016-37)
关键词
适航维修
复合材料
案例推理
语义检索
知识库
airworthiness maintenance
composite
case-based reasoning
semantic retrieval
knowledge base
