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  • 标题:Oil Debris Signals Enhancement Based On Wavelet Analysis for Wind Turbine Condition Monitoring
  • 本地全文:下载
  • 作者:Shenggang Yang ; Xiaoli Li ; Ming Liang
  • 期刊名称:International Journal of Future Generation Communication and Networking
  • 印刷版ISSN:2233-7857
  • 出版年度:2016
  • 卷号:9
  • 期号:10
  • 页码:149-158
  • 出版社:SERSC
  • 摘要:Oil debris signals are applied to monitor lubricant oil conditions and fault diagnosis of a wind turbine. However, the signals will be influenced by the vibration of transmission mechanism and background noise, hence false alarms and undetected particles will limit sensors ability in examining fine particles in oil debris. This paper presents an approach to enhance the performance of oil debris signals. The de-noising of signals used a wavelet filtering to remove the vibration of a wind turbine, and then set a threshold to remove the background noise which caused by the system of measurement. The effectiveness of this enhanced measurement system is tested by using simulated and experimental signals.
  • 关键词:oil debris signals; condition monitoring; w;ind turbine; fault diagnosis; ;wavelet filtering
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