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Failure Forecast Diagnosis of Small Wind Turbine using Acoustic Emission Sensor
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  • Failure Forecast Diagnosis of Small Wind Turbine using Acoustic Emission Sensor
  • Failure Forecast Diagnosis of Small Wind Turbine using Acoustic Emission Sensor
저자명
Bouno. Toshio,Yuji. Toshifumi,Hamada. Tsugio,Hideaki. Toya
간행물명
KIEE international transactions on electrical machinery and energy conversion systems
권/호정보
2005년|1호|pp.78-83 (6 pages)
발행정보
대한전기학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Currently in Japan, the use of the small wind turbine is an upward trend. There are already many well established small wind turbine generators in use and their various failures have been reported. The most commonly sighted failure is blade damage. Thus the research purpose was set to develop a simple failure diagnostic system, where an Acoustic Emission (AE) signal was produced from the failure part of a blade which was measured by AE sensor. The failure diagnostic technique was thoroughly examined. Concurrently, the damage part of the blade was imitated, the AE signal was measured, and a FFT(Fast Fourier Transform) analysis was carried out, and was compared with the output characteristic. When one sheet of a blade was damaged 40mm or more, the level was computed at which failure could be diagnosed.