Treffer 1 - 4 von 4 für Suche 'Yu, HyeonTak', Suchdauer: 1,56s Treffer weiter einschränken
  1. 1
    A Study on Deep Learning Application of Vibration Data and Visualization of Defects for Predictive Maintenance of Gravity Acceleration Equipment

    A Study on Deep Learning Application of Vibration Data and Visualization of Defects for Predictive Maintenance of Gravity Acceleration Equipment von Lee, SeonWoo, Yu, HyeonTak, Yang, HoJun, Song, InSeo, Choi, JungMu, Yang, JaeHeung, Lim, GangMin, Kim, Kyu-Sung, Choi, ByeongKeun, Kwon, JangWoo

    Veröffentlicht in Applied sciences

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  2. 2
    Failure analysis and structural improvement for cracked circular finned tube

    Failure analysis and structural improvement for cracked circular finned tube von Kim, Seonhwa, Yu, Hyeontak, Nam, Kiwoo, Choi, Byeongkeun

    Veröffentlicht in Engineering failure analysis

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  3. 3
    Apply VGGNet-based deep learning model of vibration data for prediction model of gravity acceleration equipment

    Apply VGGNet-based deep learning model of vibration data for prediction model of gravity acceleration equipment von Lee, SeonWoo, Yu, HyeonTak, Yang, HoJun, Yang, JaeHeung, Lim, GangMin, Kim, KyuSung, Choi, ByeongKeun, Kwon, JangWoo

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  4. 4
    Apply VGGNet-based deep learning model of vibration data for prediction model of gravity acceleration equipment

    Apply VGGNet-based deep learning model of vibration data for prediction model of gravity acceleration equipment von Lee, SeonWoo, Yu, HyeonTak, Yang, HoJun, Yang, JaeHeung, Lim, GangMin, Kim, KyuSung, Choi, ByeongKeun, Kwon, JangWoo

    Veröffentlicht in arXiv.org

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