摘要
为准确高效的为机体损伤区域划分方法的选择和评价提供决策支持,分析了机体损伤区域的特点,建立了损伤图像划分评价指标——边界网格梯度。并引入熵权法,融合边界网格梯度指标,对TOPSIS方法进行优化改进,建立了完整的机体损伤区域划分评价体系。选用不同灰度熵阈值的飞机机体损伤区域划分图像进行验证。结果表明:该方法有效的表征了边界对损伤邻接区域的划分情况,避免了不同划分图像中边界变化对评价结果的不利影响,评价结果符合视觉感知。
In order to provide decision support for efficiently choosing and evaluating airframe damage region division methods, the characteristic of airframe damage region was analyzed, evaluating indicator of damage image division-boundary grid gradient was established. By introducing entropy method, combining with indicator of boundary grid gradient, the optimization of TOPSIS was presented, and the evaluation system of airframe damage region division was completely established. Airframe damage region division evaluation experiments were performed by different gray level entropy threshold of damage division image. Experimental results showed that, the proposed method efficiently represented division status of damage adjacency region, and avoided the adverse effect of boundary changing in different division image on evaluation. The evaluation result corresponded well with visual perception.
作者
蔡舒妤
师利中
Cai Shuyu;Shi Lizhong(College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, Chin)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2018年第7期2729-2735,共7页
Journal of System Simulation
基金
航空科学基金(20151067003)
关键词
机体损伤区域划分
损伤划分评价方法
边界网格梯度
熵权法
理想解
airframe damage region division
damage division evaluation method
boundary grid gradient
entropy method
ideal solution