| Correlation Dimension in Fault Diagnosis of 600 MW Steam Turbine Generator |
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| 作者姓名： | 姚宝恒 杨霞菊 佟德纯 陈兆能 |
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| 作者单位： | SchoolofMechanicalandPowerEngineering,ShanghaiJiaotongUniversity,Shanghai200030 |
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| 摘 要： | GP algorithm of correlation dimension computation is ameliorated which overcomes the shortage of traditional one. Improved process of GP algorithm takes the influence of temporal correlative pairs of points on correlation dimension into account and promotes the computational efficiency prominently. Iterative SVD method is applied to remove the influence of noise on the result of correlation dimension. The faults of steam flow turbulence and oil film disturbance which occur in 600MW Steam Turbine Generator are analyzed and whose correlation dimensions are computed. More distinct quantitative index than FFT is gained to distinguish two faults and it‘s of little importance to apply correlation dimension to study the influence of various factors on steam flow turbulence fault for nonexistence of convergent floor in correlation integral curve, which presents a new way to learn the operational function of large capacity steam turbine generator and carry out comprehensive condition monitoring.
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| 关 键 词： | 故障诊断系统 蒸汽涡轮发电机 计算方法 SVD方法 油膜 |
Correlation Dimension in Fault Diagnosis of 600 MW Steam Turbine Generator |
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| YAO Bao-heng,YANG Xia-ju,TONG De-chun,CHEN Zhao-neng.Correlation Dimension in Fault Diagnosis of 600 MW Steam Turbine Generator[J].Journal of Donghua University,2005,22(1):31-36. |
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| Authors: | YAO Bao-heng YANG Xia-ju TONG De-chun CHEN Zhao-neng |
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| Abstract: | GP algorithm of correlation dimension computation is ameliorated which overcomes the shortage of traditional one. Improved process of GP algorithm takes the influence of temporal correlative pairs of points on correlation dimension into account and promotes the computational efficiency prominently. Iterative SVD method is applied to remove the influence of noise on the result of correlation dimension. The faults of steam flow turbulence and oil film disturbance which occur in 600 MW Steam Turbine Generator are analyzed and whose correlation dimensions are computed. More distinct quantitative index than FFT is gained to distinguish two faults and it's of little importance to apply correlation dimension to study the influence of various factors on steam flow turbulence fault for nonexistence of convergent floor in correlation integral curve, which presents a new way to learn the operational function of large capacity steam turbine generator and carry out comprehensive condition monitoring. |
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| Keywords: | correlation dimension ameliorated algorithm 600MW steam turbine generator air turbulence oil film disturbance |
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