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풍력발전기 모사 시스템에서의 균열 결함 진단에 대한 연구
배근호(Keun-Ho Bae),박종원(Jong-Won Park),김봉기(Bong-Ki Kim),최병오(Byung-Oh Choi) 한국신뢰성학회 2014 신뢰성응용연구 Vol.14 No.4
An experimental gear-box was set-up to simulate the real situation of the wind-turbine. Artificial cracks of different sizes were machined into the gear. Vibration signals were acquired to diagnose the different crack fault conditions. Time-domain features such as root mean square, variance, kurtosis, normalized 6th central moments were used to capture the characteristics of different crack conditions. Normal condition, 1 mm crack condition, 2mm crack condition, 6mm crack condition, and tooth fault condition were compared using ANFIS and DAG-SVM methods, and three different DAG-SVM models were compared. High-pass filtering improved the success rates remarkably in the case of DAG-SVM.