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Probabilistic Prognostics and Health Management of Power Transformers Using Dissolved Gas Analysis Sensor Data and Duval's Polygons. [PDF]
Sensors (Basel)Kashiwagi FN +4 more
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In Situ Oil-Gas Separator Enabled Carrier-Free Photoacoustic Sensing of Acetylene. [PDF]
Sensors (Basel)Dou W +5 more
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Dual-channel grouped cross-dimension attention V-Net for pulmonary nodule segmentation. [PDF]
Quant Imaging Med SurgZhang L +5 more
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Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms
IEEE Transactions on Dielectrics and Electrical Insulation, 2023The application of artificial intelligence algorithms for transformer incipient fault classification using dissolved gas analysis (DGA) is an interesting engineering approach.
Kandala N V P S Rajesh +2 more
exaly +2 more sources
Minerals Engineering, 2021
In this paper, a novel crystalline adsorbent MIL-101-DGA (DGA: Diglycolic Anhydride) is synthesized, which can change the order of traditional rare earth separation.
Zhigang Zhao, Fan Yang, Fengzhi Tan
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In this paper, a novel crystalline adsorbent MIL-101-DGA (DGA: Diglycolic Anhydride) is synthesized, which can change the order of traditional rare earth separation.
Zhigang Zhao, Fan Yang, Fengzhi Tan
exaly +2 more sources
Bidirectional LSTM Models for DGA Classification
, 2019 The paper describes our submission to the shared task on DGA classification at DMD 2018. The approach is based on a Deep Learning architecture using bidirectional LSTM neural networks. Similar models are used in both the tasks, the first one is to identify the DGA generated domain name and the second one is to detect and categorize the DGA generated ...
Daniele Sartiano, Giuseppe Attardi
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