グランド再生可能エネルギー国際会議論文集
Online ISSN : 2434-0871
Japan council for Renewable Energy(2018)
会議情報

NEW DIAGNOSIS METHOD FOR WIND TURBINE FAILURE PREDICTION BY COMPREHENSIVE VIBRATION ANALYSIS
*Takashi FujiiHiroo InoueToshiya Iwashita
著者情報
会議録・要旨集 フリー

p. 193-

詳細
抄録

New diagnosis method by comprehensive vibration analysis combined with latest machine learning technology is developed. In this method, overlapped signals are handled comprehensively as evaluation signals rather than noise. It can be applied to low-speed moving parts such as main rotor bearings of wind turbines, which are difficult to detect damage early, and as a result, the damage detection of wind turbine bearings is made possible three months before repair is required.

著者関連情報
© 2018 Japan Council for Renewable Energy (JCRE)
前の記事 次の記事
feedback
Top