### 基于高斯混合模型的汽轮机振动故障诊断

88 Vol.30.No.6.2009 测点 测点2 方向 ∑ g 电动机 键 测点1 测点2 8 相 x方向 x方向 预处理板 A/D板 计算机 unew.IAi Anew./ Fig. 1 Schematic Diagram for Experimental Testing 8 .. Table 1 Channels of Experimental Testing points 12 X; 3 5 (0,0) 1 5 2 (2,2) 5.1 30[3,1风3239(34[2(5[36园3 Fig. 2 Structure of Wavelet Packet Decompound Tree Table 2 Corresponding Frequency Segment of Wavelet Packet Coefficient 2000HZ 1000H∠ d(3,0) 0125 di(3,4) 500525 (3,1) 125250 d(3,5) 625750 1 500 r/min d(3,2) 250375 a(3,6) 750875 1 000 r/min (3,3) 375500 d(3,7) 8751000 GMM d(0,0)=c(3,0)+3.1)+l(3,2)+l(3,3)+ d(3,4)+(3,5)+(3,6)+l(3,7) X={x1,x2,…,x 5.3 Bently I7 1X1X 2X2X 4X 3X 5X 1X 2X 3X 4 xn200 GMM C1994-2012cHinaAcadcmicJOurnalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct l,2,…M M Bently 20 M 12 A,22 30% m 8 5%M12 85 M12 54 80% M12 X 5;=1,,5;i≠ M12 X 5;j=1,,5;k=1,,5;i≠j≠k GMM 481216 GMM Table 3 Computed result of 1 channel M=12 M=16 M 85 % 60 25 60 80 2008,32(2):3034 Table4 Computed result of 3 channel 2004,23 4):2125 30 2002,3(2) 35 UI 2005,6(2):6567 54 Table 5 Computed Result of 4 Channel 2007,43(3):204206 M 8 2005,3l(6):148150 80 80 50 85 85 Kolmogorov 2008,27(5) 60 85 80 148151 25 90 75 C1994-2012cHinaAcadcmicJOurnalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct Vol.30.No.6.2009 Turbine Faults Diagnosis Based on Gaussian Mixture Models LUO Mian-hui, LIANG Ping College of Electricity Power, South China University of Technology, Guang Zhou, 510640, China) Abstract: The Gaussian Mixture Models and the wavelet packet analysis are used to the turbine vibration faults diagnosis. De-compound firstly the vibration faults signal and delete the disturbed component. Then, take the frequency segments which contain the fault characteristics as the fault characteristics vector To set up the Gaussian Mixture Models with the vectors, and identify the different faults with the built model. The experiment data measured in Benlty experiment platform is adopted to set up the model and identify the faults In the calculation results, when the modulus equal to twelve, the precision for the faults diagnosis by the Gaussian Mixture Modcls is approximately 80%90%. It indicates that the turbine vibration fault can be diagnosed effectively by the gaussian Mixture Modcls and the wavelet packct analysis Key words: Gaussian Mixture Models(GMM), Turbine faults diagnosis, Wavelet packet analysis Expectation-Maximization(EM) algorithm 1983 2006 1953 1998 69 Analogue Simulation for Local Damage of Drain Pipe DAI Zhen, HAO Xiao-jun, NIU Xiao-guang, JING Shang-qian (Hebei Electric Power Research Institute, Shijiazhuang, 050021, China) Abstract: For the leakage of variable diameter drain pipe caused by local thinned area, the synergism of cavitation and erosion is regarded as the main factor. In order to obtain the distribution of damage CFd code was used. The calculated resull shows that slatic pressure reaches its minimum at the small-end of conical pipe behind the valve and is lower than the vaporization pressure, which will cause the cavitation, and maximum of shear stress appears at the same position, which accelerates the erosion effect of fluid Furthcrmorc, corrcsponding proposals arc put forward to prevent the conical drain pipe from local damagc Key words: Variable diameter drain pipe, Cavitation, Erosion, CFD simulation 198 2007 1999 1964 1984 C1994-2012cHinaAcadcmicJOurnalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct

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