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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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  • 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

  • Stack Pressure-based Health Index Development of Li-ion Battery and Sensorless Real-time Fault Diagn…

    Period

    2024-03-15 ~ 2024-11-14

  • 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

  • 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

  • Revolution and Peak Discrepancy-Based Domain Alignment Method for Bearing Fault Diagnosis Under Very Low-Speed Conditions

    Seungyun Lee, Sungjong Kim, Su J. Kim, Jiwon Lee, Heonjun Yoon*, and Byeng D. Youn*

    Expert Systems with Applications, SCIE (IF: 7.5, Rank: 5.2%), Vol. 251, pp. 124084

  • Gradient Alignment Based Partial Domain Adaptation (GAPDA) Using a Domain Knowledge Filter for Fault Diagnosis of Bearing

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

    Reliability Engineering & System Safety, SCIE (IF: 9.4, Rank: 3.3%), Vol. 250, pp. 110293

  • Frequency-Focused Sound Data Generator for Fault Diagnosis in Industrial Robots

    Semin Ahn¹, Jinoh Yoo¹, Kyu-Wha Lee, Byeng D. Youn*, and Sung-Hoon Ahn*

    Journal of Computational Design and Engineering, SCIE (IF: 4.8, Rank: 11.5%), Vol. 11, No. 4, pp. 234-248

  • PCDC: Prototype-assisted Dual-contrastive Learning with Depthwise Separable Convolutional Neural Network for Few-shot Fault Diagnosis of Permanent Magnet Synchronous Motors under New Operating Conditions

    Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Chaehyun Suh, Heonjun Yoon*, and Byeng D. Youn*

    Journal of Computational Design and Engineering, SCIE (IF: 4.8, Rank: 11.5%), Vol. 11, pp. 337-358

NEWS

  • 2024-11-06

    Prof. Youn gave an invited talk in Pohang University of Science and Technology

  • 2024-10-16

    Prof. Youn gave an invited talk in HMG TECH SUMMIT 2024