PDeT:用于光伏面板缺陷分割的渐进式可变形变压器
Peng Zhou1,2, Hong Fang3, Gaochang Wu1
1State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
在光伏 (PV) 面板中,精确的像素级缺陷细分对于效率至关重要. 我们的渐进式可变形变压器 (PDeT) 方法通过自适应地调整特征提取和语义融合来增强缺陷检测,提高性能.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机视觉 计算机视觉
背景情况:
- 光伏 (PV) 面板的缺陷会减少发电,并可能导致过热.
- 精确的像素级缺陷细分对于稳定的光伏系统运行至关重要.
- 现有的方法在适应性尺度确定和特征融合方面扎,以获得准确的缺陷定位.
研究的目的:
- 提出一种新的渐进式可变形变压器 (PDeT),用于在光伏电池中精确的缺陷细分.
- 通过自适应性地确定受体场来提高特征提取,以准确地定位缺陷.
- 通过无融合语义和细粒度特征来改进高层次表示.
主要方法:
- 开发了一种进步可变形变压器 (PDeT),结合了自适应空间采样偏移和自我注意力.
- 实现了一个语义聚合模块,用于改进语义信息和平衡上下文信息.
- 在专用太阳能电池数据集和MVTec-AD数据集上对PDeT进行了评估,用于跨域验证.
主要成果:
- 在太阳能电池缺陷细分数据集上实现了88.41%的欧盟平均交叉点 (mIoU).
- 与现有的光伏电池缺陷检测方法相比,证明了更高的性能.
- 在MVTec-AD数据集上展示了卓越的识别性能,验证了跨领域的适用性.
结论:
- PDeT有效地解决了在缺陷细分中适应性规模确定和特征融合的挑战.
- 拟议的方法显著提高了光伏电池板缺陷检测的准确性和稳定性.
- 对于超越光伏电池的缺陷检测应用,PDeT显示出承诺,这表明其多功能性.
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