풍력에너지저널 (Journal of Wind Energy)

  • 제10권4호
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  • Pages.43-49
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  • 2019
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  • 2093-5099(pISSN)
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  • 2733-9467(eISSN)
한국풍력에너지학회 (Korea Wind Energy Association)
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해상 풍력발전기 고장진단을 위한 CMS 시운전 및 알람 설정

CMS Commissioning and Alarm Setting for Offshore Wind Turbine Diagnosis

  • 이도행 ((주)에스엠인스트루먼트) ;
  • 서윤호 (한국기계연구원 풍력연구실) ;
  • 김영기 ((주)에스엠인스트루먼트) ;
  • 강준구 ((주)에스엠인스트루먼트)
  • 투고 : 2019.11.21
  • 심사 : 2019.12.13
  • 발행 : 2019.12.31
⟨ 이전 논문 다음 논문 ⟩

초록

This paper introduces the development of a CMS, GreenEye CMS, in accordance with the DNVGL-SE-0439 guidelines and its application example of a 3 MW offshore wind turbine. The DNVGL-SE-0439 are describes and introduces requirements for CMS such as measurement method, physical channel number and analysis algorithm. In this paper, the CMS installation and commissioning procedure is explained. The CMS installation example in the 3MW offshore wind turbine. Ten accelerometers were attached to the turbine's main bearings, gearbox and generator. The CMS processes the vibration signal measured by the sensor to monitor the turbine's fault frequency and performs analysis in accordance with the guidelines. It is important to define the reference value because CMS diagnoses the failure of the turbine with a reference value that is precisely determined based on the steady state of the turbine. The two-month commissioning procedure for determining the turbine's reference value is described. Statistical analysis of data during the commissioning period is performed to determine the five active bins and the monitoring index for the turbine.

키워드

과제정보

본 연구는 2019년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP))의 지원을 받아 수행한 연구과제입니다. (No. 20163030024510 풍력발전시스템 상태감시 진단시스템 개발)

참고문헌

  1. SKF Asset Management Services, 2007, Wind farm maintenance strategy opportunities.
  2. Korea Institute of Energy Technology Evaluation and Planning, 2016, Clean Energy Technology Roadmap, pp. 22~27.
  3. DNVGL, 2016, DNVGL-SE-0439 : Certification of condition monitoring.
  4. KSC IEC61400-25-6 : Wind turbines - Part 25-6: Communications for monitoring and control of wind power plants - Logical node classes and data classes for condition monitoring
  5. KSB ISO13373-1 : Condition monitoring and diagnostic of machines - Vibration condition monitoring - Part 1: General procedures
  6. Son, J.-D., Eom, S.-M., Kim, S.-T., Lee, K.-H. and Lee, J.-H., 2015, "Vibration Monitoring and Diagnosis System Framework for 3MW Wind Turbine," Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 25, No.8, pp. 553~558. https://doi.org/10.5050/KSNVE.2015.25.8.553