Showing results 5 to 9 of 9
Normal data based rotating machine anomaly detection using CNN with self-labeling Bae, Jaewoong; Jung, Wonho; Park, Yong-Hwa, SMART STRUCTURES AND SYSTEMS, v.29, no.6, pp.757 - 766, 2022-06 |
Time-series imaging method for rotating machinery fault diagnosis using unsupervised sparse dictionary learning Jung, Wonho; Lim, Daeguen; Bae, Jaewoong; Park, Yong-Hwa, Active and Passive Smart Structures and Integrated Systems XVI, SPIE, 2022-04-20 |
Utilization of high-fidelity simulation data for data augmentation of artificial neural net-based rotor faults diagnosis LIM, DAEGUEN; Jung, Wonho; Bae, Jaewoong; Park, Yonghwa, Active and Passive Smart Structures and Integrated Systems XVI, SPIE, 2022-04-20 |
Vibration and current dataset of three-phase permanent magnet synchronous motors with stator faults Jung, Wonho; Yun, Sung-Hyun; Lim, Yoon-Seop; Cheong, Sungjin; Park, Yong-Hwa, DATA IN BRIEF, v.47, 2023-04 |
Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis Jung, Wonho; Kim, Seong-Hu; Yun, Sung-Hyun; Bae, Jaewoong; Park, Yong-Hwa, DATA IN BRIEF, v.48, 2023-06 |
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