Volume 31 Issue 6
Jun.  2016
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Article Navigation >  Journal of Aerospace Power  > 2016  >  31(6): 1450-1459
ZHU Fei-xiang, LI Ben-wei, ZHAO Yong, SONG Han-qiang. Real-time monitor and diagnosis of combustion system based on kernel principal component analysis[J]. Journal of Aerospace Power, 2016, 31(6): 1450-1459. doi: 10.13224/j.cnki.jasp.2016.06.022
Citation: ZHU Fei-xiang, LI Ben-wei, ZHAO Yong, SONG Han-qiang. Real-time monitor and diagnosis of combustion system based on kernel principal component analysis[J]. Journal of Aerospace Power, 2016, 31(6): 1450-1459. doi: 10.13224/j.cnki.jasp.2016.06.022
shu

Real-time monitor and diagnosis of combustion system based on kernel principal component analysis

doi: 10.13224/j.cnki.jasp.2016.06.022

  • 1. Graduate Students' Brigade, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China;

  • 2. Department of Aircraft Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China

  • Received Date: 2014-09-29
  • Publish Date: 2016-06-28
    Abstract
  • According to the shortage of gas turbine engine combustor condition monitoring method, fault location and incipient fault detection, the low-turbine exhaust circumferential temperature field data were utilized to study the deflection law of gas in turbine through flow region, and the normalized temperature field data were analyzed by taking advantage of kernel principal component analysis (KPCA) method. Based on two engines' fault data, the fault detection and identification for the combustor fault and thermocouple sensor were developed respectively. The method of combining exhaust temperature field deflection law with kernel principal component analysis method to study combustor camber fault and thermocouple sensor fault was proved to be effective. Results show that, this method improves the fault orientation level from combustion level to camber level for gas turbine engine combustor with loop tube camber.

     

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