Yeong Rim Noh

Education

• M.S. (2021-2023) Mechanical Engineering, Dongguk University, Seoul, Korea

• B. S. (2017-2021), Department of Mechanical, Robotics and Energy Engineering, Dongguk University, Seoul, Korea

Academic Experience

• June,2022- January, 2023, Visiting Researcher, Georgia Institute of Technology, Atlanta, USA

• December, 2019-2023, Research Assistant at Dongguk University, Seoul, Korea

Research Interests  

• Artificial Intelligence (AI), Data Science, Computer Vision, Image Processing, Control and Automation.

Honors and Awards

• Best achievement award, 첨단소재기반 스마트팩토리 글로벌인재양성 사업단, 2022/12/04

• Poster Presentation Award 2nd Place, International Conference on Active Materials and Soft Mechatronics, 2022/10/29

• 학생 경진대회 은상, 대한 기계 학회, 2022/05/20

• Excellent Poster Paper Award, Korea Multiscale Mechanics Society, 2020/12/22

PUBLICATIONS-INTERNATIONAL JOURNAL/ COMMUNICATED INTERNATIONAL JOURNALS

1.Asif K., Izaz R., Noh Y.R., Lee D., Sohn J.W. and Kim H.S., “Autonomous Assessment of Delamination in Laminated Composites using Deep Learning and Data Augmentation,” Composite Structures, Vol. 290, June 15, 2022, 115502, pp. 1-18, https://doi.org/10.1016/j.compstruct.2022.115502. (IF : 6.603)

RESEARCH PAPER PRESENTED IN NATIONAL/ INTERNATIONAL CONFERENCES

1.  Noh Y.R., Choi S.K. and Kim H.S., “Development of motor current-based fault diagnosis method in the non-stationary system,” The 6th International Conference on Active Materials and Soft Mechatronics (AMSM 2022), Atlanta, GA, October 26-29, 2022.

2. Noh Y.R., Izaz R., and Kim H.S., ” Development of fault diagnosis method for 6-axis robot in complex motion”, Korean Society for Noise and Vibration Engineering(KSNVE), Changwon, Korea, May, 25-28, 2022

3. Noh Y.R., Izaz R., and Kim H.S., ” Development of deep learning-based robot fault diagnosis technique through empirical mode analysis of motor current signals”, Korean Society of Mechanical Engineers(KSME), Busan, Korea, May, 19-21, 2022

4. Noh Y.R., Song J.W., Kim H.S., “Development of fault detection technology based on autoencoder using motor current signal analysis”, Korea Multi-Scale Mechanics Symposium(KMSM), Gumi, Korea, December 22, 2021

5. Salman K., Noh Y.R., Kim H.S., “ FE based approach for the Fatigue damage prognosis of composite aircraft tail wing structure”, Korea Multi-Scale Mechanics Symposium(KMSM), Gumi, Korea, December 22, 2021

6. Izaz R. Asif K., Noh Y.R., Kim S.J., Kim H.S., “Prognostic Health management of rotate vector reducer: Development of an algorithm for speed independent fault characteristics”, Korean Society for Noise and Vibration Engineering(KSNVE), Jeju, Korea, November 24-27, 2021

7. Salman K., Noh Y.R., Kim H.S., "A Numerical Based Approach for the Fatigue Damage Prognosis of Composite Aircraft Tail Wing Structure" Asia pacific international symposium on aerospace technology, Jeju, November 15-17, 2021

8. Noh Y.R., Asif K., Izaz R., Kim H.S., “Development of fault detection technology through deep learning using motor current signature analysis” Korean Society of Mechanical Engineers(KSME), Gwangju, November 3-6, 2021

9. Noh Y.R., Asif K., Izaz R., Kim H.S. and Sohn J.W., “Real-time damage detection in smart composite laminate by applying data augmentation and transfer learning,” Asia Pacific Conference of the Prognostics and Health Management Society 2021(PHMAP 2021), Jeju, Korea, September 8-11, 2021.

10.   Salman K., Noh Y.R. and Kim H.S., “Numerical approach-based framework for aircraft tail wing structural maintenance and reliability sensitivity analysis,” Asia Pacific Conference of the Prognostics and Health Management Society 2021(PHMAP 2021), Jeju, Korea, September 8-11, 2021

11.  Ali R., Noh Y.R., Kim H.S.,” Deep Learning-based Feature Infusion Strategy in Multi-Robot Facility for Component-Level PHM”, Korean Society for Noise and Vibration Engineering(KSNVE), Pyeongchang, Korea, May 26-29, 2021

12.  Asif K., Noh Y.R. Hwang H., Kim H.S., Jun-Sik Kim, “Simple Simulation and Transfer Learning for Data Scarcity in Actual Rotating Machinery,” Korean Society of Mechanical Engineers(KSME), December 16-19, 2020

13.  Ali R., Izaz R., Noh Y.R. Hwang H., Lee H., Kim H.S., “A consolidated approach for Electrical, electronics, and Mechanical Fault detection and diagnosis using Motor Current Signature Analysis(MCSA) with Machine Learning-based classification system”, Korean Society for Noise and Vibration Engineering(KSNVE), Jeju, Korea, October 28-31, 2020

14.  Izaz R., Ali R., Noh Y.R., Hwang H., Lee H., Kim H.S., “Robotic Arm’s reducer fault detection using motor current signature analysis (MCSA)”, Korean Society for Noise and Vibration Engineering(KSNVE), Jeju, Korea, October 28-31, 2020

15. Asif K., Noh Y.R.,Kim H.S., “Assessment of single and multiple discrete delaminations in smart composite laminates using machine learning,” Computational Structural Engineering institute of Korea(COSEIK), Sokcho, August 24-25, 2020

16.  Lim W.C., Asif K., Noh Y.R., and Kim H.S., “Physical model based Data Augmentation for Turbine fault diagnosis using AI,” PHM Korea 2020, Seoul, July 21-23, 2020

17. Salman K., Noh Y.R., Ali R., Kim H.S., “A Hybrid Physics-based Data-driven approach for Boiler Water-wall tube leakage detection”, PHM Korea 2020, Seoul, July 21-23, 2020