Zobrazeno 1 - 10 of 53 pro vyhledávání: '"Kyung ho Sun"'
1
Akademický článek
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps
Autor: Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Soo Young Lee, Joon Ha Jung, Seungchul Lee
Publikováno v: IEEE Access, Vol 8, Pp 129169-129179 (2020)
In the era of the fourth industrial revolution (Industry 4.0) and the Internet of Things (IoT), real-time data is enormously collected and analyzed from mechanical equipment. By classifying and characterizing the measured signals, the fault condition
Externí odkaz: https://doaj.org/article/85fd171f15cd4bbe990ed91d3d326977
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2
Akademický článek
A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth
Autor: Hyeon Bae Kong, Soo-Ho Jo, Joon Ha Jung, Jong M. Ha, Yong Chang Shin, Heonjun Yoon, Kyung Ho Sun, Yun-Ho Seo, Byung Chul Jeon
Publikováno v: International Journal of Prognostics and Health Management, Vol 11, Iss 1 (2020)
Lamb-wave-based nondestructive testing and evaluation (NDT/E) methods have drawn much attention due to their potential to inspect plate-like structures in a variety of industrial applications. To estimate and/or predict fatigue crack growth, many res
Externí odkaz: https://doaj.org/article/8ca227dfa6304b7dbd0acf8311d22211
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3
Akademický článek
A small-form-factor piezoelectric vibration energy harvester using a resonant frequency-down conversion
Autor: Kyung Ho Sun, Young-Cheol Kim, Jae Eun Kim
Publikováno v: AIP Advances, Vol 4, Iss 10, Pp 107125-107125-6 (2014)
While environmental vibrations are usually in the range of a few hundred Hertz, small-form-factor piezoelectric vibration energy harvesters will have higher resonant frequencies due to the structural size effect. To address this issue, we propose a r
Externí odkaz: https://doaj.org/article/e18f666aa0744f44855180d560fdec73
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8
Optimal vibration image size determination for convolutional neural network based fluid-film rotor-bearing system diagnosis
Autor: Byung-Chul Jeon, Byeng D. Youn, Kyung Ho Sun, Myungyon Kim, Joon Ha Jung
Publikováno v: Journal of Mechanical Science and Technology. 34:1467-1474
This paper suggests an image gradient based method that determines the optimal image size for convolutional neural network (CNN)-based diagnosis of fluid-film rotorbearing systems. As distinct patterns improve the diagnosis performance, a criterion i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e75d45ba846b81f5c020cc693d6315c9
https://doi.org/10.1007/s12206-020-0308-z
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9
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps
Autor: Seung-Chul Lee, Bayu Adhi Tama, Soo-Young Lee, Kyung Ho Sun, Hyunsuk Huh, Joon Ha Jung
Publikováno v: IEEE Access, Vol 8, Pp 129169-129179 (2020)
In the era of the fourth industrial revolution (Industry 4.0) and the Internet of Things (IoT), real-time data is enormously collected and analyzed from mechanical equipment. By classifying and characterizing the measured signals, the fault condition
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263c3fa18d3566b6002b0931a6664a21
https://ieeexplore.ieee.org/document/9142228/
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