• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Advances in Computer Technology, Information Science and Communications >An Anomaly Detection Method for Outdoors Insulator in High-Speed Railway Traction Substation
【24h】

An Anomaly Detection Method for Outdoors Insulator in High-Speed Railway Traction Substation

机译：高速铁路牵引变电所户外绝缘子的异常检测方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The outdoors insulator is an important component of the high-speed railway traction substation, which is of great significance to maintain the stability of transmission line and ensure the normal operation of transmission network. Once there is a fault for the insulator, it will cause serious transmission failure and economic loss. Therefore, a method is proposed to detect the abnormal areas of outdoors insulator in high-speed railway traction substation based on object detection and generative adversarial networks. First, we employ Faster RCNN to locate the area of insulator from the input image of traction substation. Then, the image of insulator obtained from the first step is fed into our designed generative adversarial networks to generate fake image, which is a normal image of insulator. Finally, multi-scale structural similarity algorithm is used to realize the anomaly detection of insulator and visualize anomalous areas. Experiments results on Heishan traction substation show that the proposed method is effective.
机译：户外绝缘子是高速铁路牵引变电站的重要组成部分，对于保持输电线路的稳定性，确保输电网络的正常运行具有重要意义。一旦绝缘子出现故障，将导致严重的传输故障和经济损失。因此，提出了一种基于目标检测和生成对抗网络的高速铁路牵引变电所户外绝缘子异常区域检测方法。首先，我们使用Faster RCNN从牵引式变电站的输入图像中定位绝缘子的区域。然后，将从第一步中获得的绝缘体图像输入到我们设计的生成对抗网络中，以生成伪图像，这是绝缘体的正常图像。最后，采用多尺度结构相似性算法实现绝缘子的异常检测并可视化异常区域。黑山市牵引变电所的实验结果表明，该方法是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号