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Slippage fault diagnosis of dampers for transmission lines based on faster R-CNN and distance constraint

机译:基于更快的R-CNN和距离约束,传输线路阻尼器滑动故障诊断

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摘要

The slippage fault diagnosis of dampers in aerial images is a challenging task for an automatic transmission line inspection system. In this paper, an effective and reliable slippage fault diagnosis method based on a deep learning technique and distance constraint method for aerial images is proposed. In the detection stage, the Faster Regions with Convolutional Neural Network (R-CNN) is employed. It takes the aerial images as input, detects the dampers in the image by learning the basic features of dampers, and outputs the coordinates of the dampers in a single image. In the diagnosis stage, the distance between adjacent dampers in the horizontal axis is calculated through the damper coordinates obtained in the detection stage, and the relationship between the distance and the selected threshold is the judgment basis of slippage fault diagnosis. The results show that the slippage fault of dampers can be quickly and accurately diagnosed in the aerial images by the proposed method.
机译:在空中图像中阻尼器的滑动故障诊断是自动传输线路检查系统的具有挑战性的任务。 本文提出了一种基于深度学习技术和空中图像距离约束方法的有效可靠的滑动故障诊断方法。 在检测阶段,采用卷积神经网络(R-CNN)的更快区域。 它将空中图像作为输入,通过学习阻尼器的基本特征来检测图像中的阻尼器,并在单个图像中输出阻尼器的坐标。 在诊断阶段,通过检测阶段中获得的阻尼器坐标计算横轴中的相邻阻尼器之间的距离,并且距离与所选阈值之间的关系是滑动故障诊断的判断基础。 结果表明,通过所提出的方法可以在空中图像中快速准确地诊断阻尼器的滑动故障。

著录项

  • 来源
    《Electric power systems research》 |2021年第10期|107449.1-107449.9|共9页
  • 作者单位

    Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China;

    Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China;

    Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China;

    Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China;

    Fuzhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Damper detection; Damper fault diagnosis; Deep learning; Distance constraint;

    机译:阻尼器检测;阻尼器故障诊断;深入学习;距离约束;

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