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Hyperautomation Artificial Intelligence Lab

서울대학교 초자율화 인공지능 연구실

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RESEARCH

  • Research topic 01

    Prognostics & Health Management (PHM)

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  • Research topic 02

    Statistical Model Verification & Validation (V&V)

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  • Research topic 03

    Reliability-Based Design Optimization (RBDO)

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PROJECT

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  • Failure Analysis of Washing Machine Bearings Based on Accelerated Degradation Testing (ADT)

    Period

    2024-12-20 ~ 2025-08-20

  • Development of Diagnosis Algorithm for Sleeve Bearing

    Period

    2024-10-01 ~ 2025-01-31

  • Development of Vehicle Weight Prediction Algorithms Based on CAN Data And Research Direction for PHM…

    Period

    2024-09-01 ~ 2025-09-30

  • Development and Demonstration of Purpose-Built Electric Vehicles Using Design Platforms

    Period

    2024-07-01 ~ 2027-12-31

  • Experimental Design and Predictive Modeling Framework with Multivariate Condition

    Period

    2024-06-01 ~ 2025-05-31

  • HRD Program in Industrial AI Manufacturing Innovation to Realize Autonomous Manufacturing

    Period

    2024-03-01 ~ 2029-02-28

  • Development of Diagnosis Section Segmentation and Load Estimation for Earth Moving Machinery

    Period

    2024-03-01 ~ 2025-02-28

  • A Study on Bayesian-based Signal Acquisition System and Physics-AI Hybrid Model for Next-Generation …

    Period

    2022-09-30 ~ 2025-09-29

HAI LAB

PUBLICATION

  • Optimized Relative Entropy for Robust Fault Detection in Excavator Traveling Gearboxes via Smeared Envelope Spectrum Analysis of Cyclo-Non-Stationary Signals

    Kyumin Na¹, Keon Kim¹, Jinoh Yoo, Jinwook Lee, and Byeng D. Youn*

    Expert Systems with Applications, SCIE (IF: 7.5, Rank: 5.2%), Vol. 266, pp. 126110

  • Enhancing Gearbox Fault Diagnosis Under Phase Estimation Errors: A Dynamic Time Warping and Blind Deconvolution Approach

    Taehyung Kim, Jongmin Park, Jinoh Yoo, Jong Moon Ha*, and Byeng D. Youn*

    Journal of Sound and Vibration, SCIE (IF: 4.3, Rank: 6.2%), Vol. 598, pp. 118851

  • Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

    Chen Jiang, Zhen Hu, Alba Sofi, Liang Gao, Haobo Qiu, Byeng D. Youn

    The American Society of Mechanical Engineers, IF: 0.0, Vol. 11, No.1, pp.010301

  • Fault frequency Band Segmentation and Domain Adaptation (FBSDA) with Fault Simulated Signal for Fault Diagnosis of Rolling Element Bearings

    Jongmin Park, Jinoh Yoo, Taehyung Kim, Minjung Kim, Jonghyuk Park, Jong Moon Ha*, and Byeng D. Youn*

    Journal of Computational Design and Engineering, SCIE (IF: 4.8, Rank: 11.5%), Vol. 12, No. 1, pp. 34-52

  • Integrated Optimization of Ply Number, Layer Thickness, and Fiber Angle for Variable-stiffness Composites Using Dynamic Multi-fidelity Surrogate Model

    Haichao An*, Yao Zhang, Qinyun Deng, Teng Long*, Byeng D. Youn, and Heung Soo Kim

    Thin-Walled Structures, SCIE (IF: 5.7, Rank: 7.4%), Vol. 206, pp. 112392

  • Physics-based Digital Twin Updating and Twin-based Explainable Crack Identification of Mechanical Lap Joint

    Wongon Kim and Byeng D. Youn*

    Reliability Engineering & System Safety, SCIE (IF: 9.4, Rank: 3.3%), Vol. 253, pp. 110515

  • Spectrum-guided GAN with Density-Directionality Sampling: Diverse High-fidelity Signal Generation for Fault Diagnosis of Rotating Machinery

    Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, Joon Ha Jung*, and Byeng D. Youn*

    Advanced Engineering Informatics, SCIE (IF: 8.0, Rank: 2.0%), Vol. 62, pp. 102821

  • Latent Space Alignment based Domain Adaptation (LSADA) for Fault Diagnosis of Rotating Machinery

    Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, Joon Ha Jung*, and Byeng D. Youn*

    Advanced Engineering Informatics, SCIE (IF: 8.0, Rank: 2.0%), Vol. 62, pp. 102862

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