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Optical Sensor with Wide Range and High Sensitivity for Internal Magnetic Field Detection of Transformer
The deterioration of winding defects is one of the important causes of power transformer fires and even explosion failures. The change of leakage magnetic field distribution is the most direct response to winding defects. Currently there are few sensors suitable for online measurement of the internal magnetic field of transformers. Based on the Faraday magneto-optical effect, a magnetic field sens...Show More
Simulation and Verification of Magnetic Field Distribution in Transformer Oil Tank Based on Finite Element Method
2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
Year: 2023 | Conference Paper |
As the key equipment in power transportation, the related characteristics of transformer in operation are the focus of transformer monitoring and protection. The existing research on the magnetic field distribution characteristics of transformer focuses on the inside of transformer tank. However, due to the poor electromagnetic environment inside the transformer, considering the influence of insul...Show More
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
Zhenyu Wang;Wei Zheng;Chunfeng Song;Zhaoxiang Zhang;Jie Lian;Shaolong Yue;Senrong Ji
Environmental air quality affects people's lives and has a profound guiding significance for the development of social activities. At present, environmental air quality measurement mainly adopts the method that setting air quality detectors at specific monitoring points in cities with fix-time sampling and slow analysis, which is severely restricted by the time and location. To address this proble...Show More
SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices
Zhenyu Wang;Jie Lian;Chunfeng Song;Zhaoxiang Zhang;Wei Zheng;Shaolong Yue;Senrong Ji
Artwork recognition is an important research direction in the field of image processing. However, most of the current proposed methods are not designed for the demand of real-time analysis with mobile devices. Moreover, existing methods usually rely on high quality images and require large amounts of computing consumption. Based on the deep learning technology, in this paper, we propose a Smart Ar...Show More
CSRS: A Chinese Seal Recognition System With Multi-Task Learning and Automatic Background Generation
Zhenyu Wang;Jie Lian;Chunfeng Song;Wei Zheng;Shaolong Yue;Senrong Ji
As an important part of the Chinese painting and calligraphy, the seals not only have a high value of art but also contain a lot of information about the artwork itself. At this digital age, we would like not only be able to represent the seals in the digital format, but also like to use image processing techniques to help us better understand them. With the development of deep learning, convoluti...Show More
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