Remote Sensing for Power Grid Fuse Tripping Using AI-Based Fiber Sensing with Aerial Telecom Cables
Publication Date: 9/22/2024
Event: 2024 European Conference on Optical Communication (ECOC)
Reference: pp. 1-4, 2024
Authors: Zhuocheng Jiang, NEC Laboratories America, Inc.; Yue Tian, NEC Laboratories America, Inc.; Wataru Kohno, NEC Laboratories America, Inc.; Sarper Ozharar, NEC Laboratories America, Inc.; Yangmin Ding, NEC Laboratories America, Inc.; Ting Wang, NEC Laboratories America, Inc.; Yiyun Yao, National Renewable Energy Laboratory; Fei Ding, National Renewable Energy Laboratory
Abstract: For the first time, we demonstrate remote sensing of pole-mounted fuse-cutout blowing in a power grid setup using telecom fiber cable. The proposed frequency-based AI model achieves over 98% detection accuracy using distributed fiber sensing data.
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