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Classification of Vibration Signals for Different Types of Failures in Electric Propulsion Motors for Ships Using Data from Small-Scale Apparatus

소형 모사 장비의 데이터를 이용한 선박용 전기 추진 모터의 고장 유형별 진동 신호의 분류

  • Seung-Yeol Yoo (Department of Ocean System Engineering, Gyeonsang National University) ;
  • Jun-Gyo Jang (Department of Ocean System Engineering, Gyeonsang National University) ;
  • Min-Sung Jeon (Department of Naval Architecture and Ocean Engineering, Gyeonsang National University) ;
  • Jae-Chul Lee (Department of Naval Architecture and Ocean Engineering, Gyeonsang National University) ;
  • Dong-Hoon Kang (Department of Naval Architecture and Ocean Engineering, Gyeonsang National University) ;
  • Soon-Sup Lee (Department of Naval Architecture and Ocean Engineering, Gyeonsang National University)
  • 유승열 (경상국립대학교 해양시스템공학과) ;
  • 장준교 (경상국립대학교 해양시스템공학과) ;
  • 전민성 (경상국립대학교 조선해양공학과) ;
  • 이재철 (경상국립대학교 조선해양공학과) ;
  • 강동훈 (경상국립대학교 조선해양공학과) ;
  • 이순섭 (경상국립대학교 조선해양공학과)
  • Received : 2023.09.13
  • Accepted : 2023.10.04
  • Published : 2023.12.20

Abstract

With the enforcement of environmental regulations by the International Maritime Organization, the market for eco-friendly ships is expanding, and ships using electric propulsion devices are emerging as a promising solution. Many studies have been conducted to predict the failure of ships, but most of them are mainly research on the main diesel engine of ships. As the ship's propulsion method changes, new data is needed to predict the failure of electric propulsion ships. In this paper aims to analyze the failure characteristics of the electric propulsion system in consideration of the difference in the type of failure between the internal diesel engine and the electric propulsion system. The ship's propulsion unit assumed a DC motor and a signal pattern for normal conditions and general failure modes, but the failure record of the electric propulsion device operated on the actual ship was not available, so it generated a failure signal for small electric motor equipment to identify the failure signal. Assuming unbalance, misalignment, and bearing failure, which are the primary failure modes of the ship's electric motor, a failure signal was generated using a "rotator vibration data generator," and the frequency band, size, and phase difference of the measured vibration signal were analyzed to analyze the characteristics of each failure condition. Finally, the characteristics of each failure condition were identified so that the signals according to the failure type could be classified.

Keywords

Acknowledgement

본 연구는 2022년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업(2021RIS-003) 및 교육부와 한국연구재단의 재원으로 지원을 받아 수행된 3단계 산학연협력 선도대학 육성사업(LINC 3.0)의 연구 결과임.

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