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  • 标题:EMD feature entropy based dynamic characteristic extraction of the draft tube of hydraulic turbines
  • 本地全文:下载
  • 作者:Y G Xue ; X Q Luo ; H Wang
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2012
  • 卷号:15
  • 期号:4
  • DOI:10.1088/1755-1315/15/4/042009
  • 出版社:IOP Publishing
  • 摘要:In this paper, the test data and storage management, data analysis and other aspects of the signal presented the turbine tube vibration system design ideas and methods. Describes a vibration analysis of tube effective method: Based on HHT spectrum of EMD turbine to extract the dynamic characteristics of information and software to be achieved. The results show that the method of high accuracy, and has a good feature vector extraction turbine capacity, suitable for analyzing complex and dynamic characteristics of turbine specific information; and the system has strong versatility and scalability, and achieve a good real-time performance. No. 1 in a hydropower station on the real machine test, experimental results show that the system can effectively monitor the vibration of the draft tube.
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