풍력발전기 모니터링 시스템을 위한 WSN 기반 발전기 고장 신호 분석 알고리즘

다국어 초록 (Multilingual Abstract)

With the development of science and technology, the offshore wind power is to become a main of wind power field. Although the large-scale offshore wind farm will be achieved, but its installation and maintenance are increasingly difficult. So it is necessary to research the fault diagnosis technology for offshore wind turbines. In this paper, we used the WSN(Wireless Sensor Network) in order to overcome the environment of positional constraints. And then we collect measured signal data from distributed nodes of the installed ethernet gateway within wind turbine farms and analyze those data in center monitoring system. The real-time signal analysis and pattern feature extraction were made through wavelet transform. The information of classified signal pattern is used to implement an automatic fault diagnosis system by using neural network algorithm.

참고문헌 (Reference)

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