Stability of High Head Francis Turbine Based on Sample Entropy

被引:0
作者
Zhu G. [1 ]
Chen M. [1 ]
Feng J. [1 ]
Liu K. [2 ]
Luo X. [1 ]
机构
[1] Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an
[2] Zhejiang FINE Institute of Hydraulic Machinery, Hangzhou
来源
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2021年 / 52卷 / 07期
关键词
CEEMD; Flow pattern observation; High head Francis turbine; Pressure fluctuation; Sample entropy;
D O I
10.6041/j.issn.1000-1298.2021.07.013
中图分类号
学科分类号
摘要
Pressure fluctuation is one of the main parameters to judge turbine stability. However, there is limitation in judging turbine stability based on the amplitudes of pressure fluctuation only. By applying the multi-channel high precision pressure fluctuation test system, the pressure fluctuation in different parts of a high head Francis turbine under partial load were collected synchronously. Then the principal components of each pressure fluctuation data were extracted by cross-correlation analysis and complete ensemble empirical mode decomposition (CEEMD) method. Finally, the sample entropy of principal component data of each pressure fluctuation signal was calculated. And then the distribution of sample entropy of different monitor points in operating range was obtained. Base on the results, it can be concluded that vortex rope in draft tube was still the main factor affecting the stability of high head Francis turbine under part load condition. And the frequency information of the principal component of the pressure fluctuation at each part of the Francis turbine can be used to infer the type of the hydraulic instability source. According to the joint comparison of the pressure fluctuation amplitude distribution and the sample entropy distribution at key monitor points, it can be proved that the variation trend of the sample entropy of principal component of pressure fluctuation can reflect the stability of hydraulic turbine. Therefore, the trend analysis of the sample entropy of principal component of pressure fluctuation can be popularized as a technical method to study the variation of the inner flow state of turbine. © 2021, Chinese Society of Agricultural Machinery. All right reserved.
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页码:134 / 140and101
相关论文
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