Battery Engineering Smart Factory

배터리-
스마트팩토리학과

교수진

교수진

고려대학교 배터리 스마트팩토리학과 [스마트팩토리 전공]

Jun-Geol Baek

백준걸 교수

Smart Production Systems Lab.

연구실 소개

스마트 생산시스템 연구실(Smart Production Systems (SPS) Lab.)에서는 통계적 분석, 기계학습(Machine Learning), 딥 러닝(Deep Learning), 인공지능(Artificial Intelligence)과 같은 다양한 데이터 분석 기법을 이용하여 생산 시스템의 효율을 극대화하기 위한 방법에 대해 연구하고 있습니다. 이를 위해, SPS 연구실에서는 스마트 팩토리(Smart Factory) 구현을 위한 설비 및 공정의 실시간 모니터링, 이상 탐지 및 분류 (Fault Detection and Classification), 이상 원인 분석과 관련한 연구를 수행하고 있으며, 설비 및 공정의 사전 이상 탐지를 위한 PHM(Prognostics and Health Management) 및 예지보전(PdM: Predictive Maintenance)과 관련한 연구를 수행하고 있습니다.

연구실 정보

  • 스마트 생산시스템 연구실
  • 02-3290-3545
  • jungeol@korea.ac.kr

프로필

Sep. 2008 - Present
Professor, Department of Industrial and Management Engineering, Korea University, Seoul, Korea
Sep. 2014 - Aug. 2015
Visiting Professor, Sauder School of Business, University of British Columbia, Vancouver, BC Canada
Mar. 2007 - Aug. 2008
Assistant Professor, Department of Business Administration, Kwangwoon University, Seoul, Korea
Mar. 2002 - Feb. 2007
Assistant Professor, Department of Industrial Systems Engineering, Induk Institute of Technology, Seoul, Korea
Mar. 2001 - Feb. 2002
Research Assistant Professor, Research Institute for Information and Communication Technology, Korea University, Seoul, Korea

교육

Ph.D.
(2001) Department of Industrial Engineering, Korea University, Korea
M.S.
(1995) Department of Industrial Engineering, Korea University, Korea
B.S.
(1993) Department of Industrial Engineering, Korea University, Korea

주요 연구분야

  • Data Science for Manufacturing
  • Fault Detection and Classification (FDC)
  • Prognostics and Health Management (PHM)
  • Real-time Process Monitoring
  • Defective Cause Analysis

주요 연구성과

  • "Bagging ensemble-based novel data generation method for univariate time series forecasting", Donghwan Kim and Jun-Geol Baek, Expert Systems with Applications, Vol. 203, 117366, 2022.
  • "Incremental learning using generative-rehearsal strategy for fault detection and classification", Subin Lee, Kyuchang Chang, and Jun-Geol Baek, Expert Systems with Applications, Vol. 184, 115477, 2021.
  • "A reinforcement learning approach to distribution-free capacity allocation for sea cargo revenue management", Dong-Wook Seo, Kyuchang Chang, Taesu Cheong, and Jun-Geol Baek, Information Sciences, Vol. 571, 623-648, 2021.
  • "Random-forest-based real-time contrasts control chart using adaptive breakpoints with symbolic aggregate approximation", In-seok Lee, Seung Hwan Park, and Jun-Geol Baek, Expert Systems with Applications, Vol.158, 113407, 2020.
  • "SSDTW: Shape segment dynamic time warping", Jae Yeol Hong, Seung Hwan Park, and Jun-Geol Baek, Expert Systems with Applications, Vol.150, 113291, 2020.

연구실 사진