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Evaluation of Datum Unit for Diagnostics of Journal-Bearing Systems

저널베어링의 이상상태 진단을 위한 데이텀 효용성 평가

  • Jeon, Byungchul (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Jung, Joonha (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Youn, Byeng D. (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Kim, Yeon-Whan (Power Generation Laboratory, KEPCO Research Institute) ;
  • Bae, Yong-Chae (Power Generation Laboratory, KEPCO Research Institute)
  • 전병철 (서울대학교 기계항공공학부) ;
  • 정준하 (서울대학교 기계항공공학부) ;
  • 윤병동 (서울대학교 기계항공공학부) ;
  • 김연환 (한국전력 전력연구원 발전연구소) ;
  • 배용채 (한국전력 전력연구원 발전연구소)
  • Received : 2014.11.24
  • Accepted : 2015.06.25
  • Published : 2015.08.01

Abstract

Journal bearings support rotors using fluid film between the rotor and the stator. Generally, journal bearings are used in large rotor systems such as turbines in a power plant, because even in high-speed and load conditions, journal bearing systems run in a stable condition. To enhance the reliability of journal-bearing systems, in this paper, we study health-diagnosis algorithms that are based on the supervised learning method. Specifically, this paper focused on defining the unit of features, while other previous papers have focused on defining various features of vibration signals. We evaluate the features of various lengths or units on the separable ability basis. From our results, we find that one cycle datum in the time-domain and 60 cycle datum in the frequency domain are the optimal datum units for real-time journal-bearing diagnosis systems.

Keywords

Journal Bearing;Datum Unit;Feature;Diagnosis

Acknowledgement

Supported by : 한국연구재단, 한국에너지기술평가원(KETEP)

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