ウェーブレット変換を用いた小型風車の状態診断に関する研究

概要

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Windmills are usually installed at an area with strong wind, e.g., large one is installed at coasts, and small ones are installed on rooftop of buildings. Then even a little wrong point on a blade of windmill is possible to be connected with a debacle. Thus, a summary diagnostic system for windmills should be developed as soon as possible in order to use the windmill system safely. In this paper we considered a diagnostic system form vibration signal for a small-scaled windmill's condition. We proposed a method of feature extraction based on Discrete Wavelet Transform (DWT), autocorrelation of the DWT's coefficients and enveloping process for autocorrelation coefficients. Then we developed automatic diagnostic system by a three-layered neural network. Through some experiments we indicated that the diagnostic accuracy of proposed system is satisfactory high.
阿南工業高等専門学校の論文