Robotics & Machine Learning Daily News2024,Issue(Oct.28) :66-66.

Research from China University of Mining and Technology Yields New Findings on Robotics (HSP-UNet: An Accuracy and Efficient Segmentation Method for Carbon Traces of Surface Discharge in the Oil-Immersed Transformer)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :66-66.

Research from China University of Mining and Technology Yields New Findings on Robotics (HSP-UNet: An Accuracy and Efficient Segmentation Method for Carbon Traces of Surface Discharge in the Oil-Immersed Transformer)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news reporting from Xuzhou, People’s Republic of China, by NewsRx journalists, research stated, “Restricted by a metalenclosed structure, the internal defects of large transformers are difficult to visually detect. In this paper, a micro-robot is used to visually inspect the interior of a transformer.”

Key words

China University of Mining and Technolog y/Xuzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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