YOLOv11-LADC:一种轻量级检测框架,用于热屏障涂层中的微纳米损伤前体
Cong Huang1,2,3, Xing Peng1,2,3, Feng Shi1,2,3
1College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Nanomaterials (Basel, Switzerland)
|December 24, 2025
概括
本研究介绍了YOLOv11-LADC,这是一个先进的框架,用于检测航空航天热屏障涂层 (TBC) 中的微纳米损伤. 新型号提高了关键航空发动机组件的检测精度和效率.
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
- 计算机视觉 计算机视觉
背景情况:
- 航空航天设备的安全依赖于航空发动机热端部件的先进热屏障涂层 (TBC).
- 在TBC中检测微纳米损伤前体对于确保航空发动机安全和飞行完整性至关重要.
- 现有的检测方法面临着复杂,小样本数据集和不规则的损害前体的挑战.
研究的目的:
- 开发一个强化检测框架 (YOLOv11-LADC) 微纳米损伤前体在航空航天TBCs.
- 提高TBC损害评估的检测准确性,适应性和计算效率.
- 为智能,高精度,实时检测多层次的TBC损伤提供实用解决方案.
主要方法:
- 将LSKA注意力机制集成到C2PSA-LA模块中,用于增强微纳米损伤前体检测.
- 在C3k2-DeformCSP模块中整合可变形卷曲 (DeformConv),以实现自适应检测和降低复杂性.
- 应用数据增强策略,进行19次转换,将数据集扩展到5140张图像.
主要成果:
- 与YOLOv11基线相比,YOLOv11-LADC模型实现了1.6%的精度 (P) 和2.0%的回忆 (R) 的提高.
- 保持高的mAP50和mAP50-95水平,同时将计算复杂性降低到6.2 GFLOPs.
- 证明了对多尺度微纳米损伤前体的卓越检测准确性和训练效率.
结论:
- YOLOv11-LADC框架为检测航空航天TBC中的微纳米损伤提供了一种可行和实际的解决方案.
- 改进后的模型显著提高了复杂,小样本数据集和不规则损坏的检测能力.
- 这项研究推进了航空航天应用中TBC完整性的智能,高精度,实时监控.
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