Volume 29 Issue 10
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JIANG Rong-jun, GAO Jian-hua, LIU Yong-bao, HUANG Shu-hong. Fuzzy intelligent selection of gas turbine gas path measurement parameters[J]. Journal of Aerospace Power, 2014, (10): 2507-2514. doi: 10.13224/j.cnki.jasp.2014.10.031
Citation: JIANG Rong-jun, GAO Jian-hua, LIU Yong-bao, HUANG Shu-hong. Fuzzy intelligent selection of gas turbine gas path measurement parameters[J]. Journal of Aerospace Power, 2014, (10): 2507-2514. doi: 10.13224/j.cnki.jasp.2014.10.031
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Fuzzy intelligent selection of gas turbine gas path measurement parameters

doi: 10.13224/j.cnki.jasp.2014.10.031

  • 1. College of Power Engineering, Naval University of Engineering, Wuhan 430033;

  • 2. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

  • Received Date: 2013-11-06
  • Publish Date: 2014-10-28
    Abstract
  • According to the needs of gas turbine gas path performance monitoring and diagnosis, based on the influence coefficient matrix by gas path small deviation analysis, the measurement parameters were classified into target clustering with required number by fuzzy clustering analysis method starting from the correlation requirements of parameters selection. Furthermore, from the sensitivity requirements of parameters selection, the representative measurement parameters of each multi-element clustering were picked out by fuzzy comprehensive evaluation method. Thereby the fuzzy intelligent selection of gas turbine gas path measurement parameters was realized. The case study shows that fuzzy clustering analysis method can carry out the parameter correlation selection directly, so it is reliable and convenient to select the reasonable measurement parameter group for a target request; it's also more efficient and reliable for the measurement parameter sensitivity selection with fuzzy comprehensive evaluation method.

     

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