Mr. Daeguen Lim Profile

Daeguen Lim

at KAIST

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Author

Publications (5)

Proceedings Article | 9 May 2024 Presentation + Paper

Normal data-based motor fault diagnosis using stacked time-series imaging method

W. Jung, D. G. Lim, B. H. Lim, Y. H. Park

Proceedings Volume 12951, 129512A (2024) https://doi.org/10.1117/12.3025103

KEYWORDS: Machine learning, Feature extraction, Convolutional neural networks, Manufacturing

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Proceedings Article | 9 May 2024 Presentation + Paper

Condition monitoring of intelligent tires utilizing 1D CNN and vibration measurement

Junho Kim, Dae-Guen Lim, Wonho Jung, Hojong Lee, Yong-Hwa Park

Proceedings Volume 12951, 129511H (2024) https://doi.org/10.1117/12.3026906

KEYWORDS: Safety, Feature fusion, Feature extraction, Signal processing, Deep learning, Diagnostics, Sensors, Visualization, Vibrometry, Vibration

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Proceedings Article | 9 May 2024 Presentation + Paper

Time integration with proper generalized decomposition for efficient time response analysis in nonlinear dynamical systems

Dae-Guen Lim, Gil-Yong Lee, Kang-Jae Park, Won-Ho Jung, Jun-Ho Kim, Yong-Hwa Park

Proceedings Volume 12951, 129512F (2024) https://doi.org/10.1117/12.3009750

KEYWORDS: Dynamical systems, Matrices, Diffusion tensor imaging, Elasticity, Computing systems, Tolerancing, Simulations, Reflection, Analytical research, Systems modeling

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Proceedings Article | 20 April 2022 Presentation + Paper

Utilization of high-fidelity simulation data for data augmentation of artificial neural net-based rotor faults diagnosis

Daeguen Lim, Wonho Jung, Jaewoong Bae, Yonghwa Park

Proceedings Volume 12043, 120431A (2022) https://doi.org/10.1117/12.2612314

KEYWORDS: Data modeling, Systems modeling, Data acquisition, Numerical simulations, Finite element methods, Neurons, Motion models, Model-based design, Modal analysis, Machine learning

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Proceedings Article | 20 April 2022 Presentation + Paper

Time-series imaging method for rotating machinery fault diagnosis using unsupervised sparse dictionary learning

Wonho Jung, Dae-Guen Lim, Jaewoong Bae, Yong-Hwa Park

Proceedings Volume 12043, 120431B (2022) https://doi.org/10.1117/12.2612532

KEYWORDS: Feature extraction, Mahalanobis distance, Convolutional neural networks, Diagnostics

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