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Updated: Feb 14, 2026

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Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
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一个多模式的决策级融合框架,用于太空飞船中的超高速冲击损害分类.
Kuo Zhang1, Chun Yin1, Pengju Kuang2
1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
太空船受到超高速撞击 (HVI) 的损害很难评估. 一个新的多式融合框架准确地识别损伤,改善航天器结构健康监测.
科学领域:
- 航空航天工程 航空航天工程
- 材料科学 材料科学 材料科学
- 信号处理 信号处理
背景情况:
- 在轨道服务期间,航天器面临微石和碎片的超高速冲击 (HVIs).
- 来自HVIs的不同类型的损伤对准确的结构健康评估构成挑战.
- 单模式方法由于噪音和不同的成像距离而难以进行损坏分类.
研究的目的:
- 开发一个基于物理的多式联络融合框架,以加强航天器损害评估.
- 克服单模式方法在识别多种HVI损伤模式方面的局限性.
- 提高轨道结构健康监测的准确性和可靠性.
主要方法:
- 集成了一种远距离感知红外增强策略,用于数据对齐的振动光谱减去.
- 采用双流ResNet与Dempster-Shafer (D-S) 证据理论相结合,用于模式间冲突解决.
- 开发了一种基于物理的方法来融合异质的数据质量.
主要成果:
- 实现了99.01%的平均精度,显著优于单模式基线 (92.96%和97.11%).
- 在所有损伤类别 (包括微裂和穿孔) 中表现出高精度 (>96.9%).
- 在损害评估中显示出高稳定性,损害评估的标准偏差为0.74%.
结论:
- 拟议的多式联通融合框架有效地提高了轨道损害评估的准确性.
- 这种方法为航天器结构健康监测提供了强大的解决方案,克服了单模式限制.
- 验证了将红外和振动数据与先进的融合技术集成的有效性,以精确检测损坏.
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