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Development of Fault Diagnostic Algorithm based on Spectrum Analysis of Acceleration Signal for Wind Turbine System

가속도 신호의 주파수 분석에 기반한 풍력발전 고장진단 알고리즘 개발

  • Ahn, Sung-Ill (School of Electronic & Information Engineering, Kunsan National Univ.) ;
  • Choi, Seong-Jin (Department of Electronics & Information Engineering, Korea Univ.) ;
  • Kim, Sung-Ho (Department of Control & Robotics Engineering, Kunsan National Univ.)
  • 안성일 (군산대학교 전자정보공학부) ;
  • 최성진 (고려대학교 전자및정보공학과) ;
  • 김성호 (군산대학교 제어로봇공학과)
  • Received : 2012.10.12
  • Accepted : 2012.12.04
  • Published : 2012.12.25

Abstract

Wind energy is currently the fastest growing source of renewable energy used for electrical generation around the world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance. CMS(Condition Monitoring System) can be used to aid plant operator in achieving these goals. Its aim is to provide operators with information regarding th e health of their machine, which in turn, can help them improve operation efficiency. In this work, wind turbine fault diagnostic algorithm which can diagnose the mass unbalance and aerodynamic asymmetry of the blades is proposed. Proposed diagnostic algorithm utilizes both FFT(Fast Feurier Transform) of the signal from accelerometers installed inside of nacelle and simple diagnostic logic. Furthermore, to verify the applicability of the proposed system, 3W small sized wind turbine system is tested and physical experiments are carried out.

전 세계적으로 풍력발전은 전력생산을 위해 사용되는 신재생 에너지원 중 가장 빨리 성장하고 있는 분야로 새로 건설되는 풍력발전단지는 전체 전력 생산량에서 많은 부분을 차지해가고 있다. 풍력발전단지의 설치 증가는 더욱 효율적인 운영과 유지보수에 대한 기술 개발을 요구하게 된다. CMS(Condition Monitoring System)는 풍력발전 시스템의 효율적 운영을 가능케 하는 중요한 도구로 운영자에게 기계의 운전 상태에 대한 정보를 제공함과 동시에 유지보수와 관련된 체계적인 정보를 제공한다. 이에 본 연구에서는 풍력발전기의 너셀에 부착된 가속도 센서로부터의 신호에 대한 FFT 분석을 통해 풍력발전기에서 발생될 수 있는 블레이드의 질량 불평형 및 공력 비대칭의 검출을 가능케 하는 진단기법을 제안하고자 하며 제안된 기법의 유용성 확인을 위해 3W급 소형 풍력발전기에의 적용을 통해 제안된 기법의 유용성을 확인하고자 한다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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