A Study on Crack Fault Diagnosis of Wind Turbine Simulation System

풍력발전기 모사 시스템에서의 균열 결함 진단에 대한 연구

  • Bae, Keun-Ho (Systems Engineering Research Division, Korea Institute of Machinery & Materials) ;
  • Park, Jong-Won (Systems Engineering Research Division, Korea Institute of Machinery & Materials) ;
  • Kim, Bong-Ki (Acoustics Group, Korea Institute of Machinery & Materials) ;
  • Choi, Byung-Oh (Systems Engineering Research Division, Korea Institute of Machinery & Materials)
  • 배근호 (한국기계연구원 신뢰성평가센터) ;
  • 박종원 (한국기계연구원 신뢰성평가센터) ;
  • 김봉기 (한국기계연구원 시스템다이나믹연구실) ;
  • 최병오 (한국기계연구원 신뢰성평가센터)
  • Received : 2014.08.17
  • Accepted : 2014.10.25
  • Published : 2014.12.25

Abstract

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.

Keywords