基于奇异谱熵的相空间重构最佳时间延迟选择

对相空间重构中的重要参数时间延迟L的选择进行了研究，并针对奇异值比率(SVF)方法的不足，将奇异谱熵引入相空间重构中L的选择，提出了一种新的L选择准则．以Lorenz和Roessler吸引子为例，通过与SVF方法L计算结果的比较，显示了该方法的优越性．最后应用基于奇异谱熵的L选择准则计算了Lorenz吸引子的关联维数．通过与理论值的比较，证明了该方法的有效性．     

非线性非稳态油膜支撑的密封-转子系统流体激励行为

将非线性非稳态油膜力模型与密封流体Muszynska模型结合，对非线性非稳态油膜力支承下的密封-转子系统流体激励行为进行了研究，发现其响应随转速比的变化具有复杂的动力学行为，产生了包括周期、拟周期等丰富的振动现象，具有很强的非线性特征。     

Correlation Dimension in Fault Diagnosis of 600 MW Steam Turbine Generator

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.