Advanced Morphological Approach for Knowledge-Based Engineering (KBE) in Aerospace

被引：2
|
作者：
Bardenhagen, A. [1 ]
Pecheykina, M. [2 ]
Rakov, D. [3 ]
机构：
[1] Berlin Tech Univ, Inst Aeronaut & Astronaut, Berlin, Germany
[2] Natl Res Univ, Moscow Power Engn Inst, Moscow, Russia
[3] Russian Acad Sci, Inst Machines Sci, Moscow, Russia
来源：
ADVANCES IN ARTIFICIAL SYSTEMS FOR MEDICINE AND EDUCATION II | 2020年 / 902卷
关键词：
Knowledge engineering; System theory; Computer-Aided Innovations (CAI); Conceptual design support; Solutions space; Morphological matrix; Model-Based Systems Engineering (MBSE); DESIGN;
D O I：
10.1007/978-3-030-12082-5_45
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The need of innovative solutions for new engineering system structures has brought interest of investigators and developers for systematic innovation. The potential of knowledge-based engineering using the advanced morphological approach (AMA) is discussed in this paper. This approach is evaluated in a case study of new engineering solutions in aerospace. Based on this case study, the proposed approach shows a significant potential in comparison with competing methods. The structural synthesis and parametric optimization programs resulting from this approach can be implemented into Model-Based Systems Engineering (MBSE)
引用
收藏
页码：495 / 505
页数：11
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