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On-line rotor fault identification by combined model and signal based approach

机译:结合模型和信号的在线辨识转子故障

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摘要

The dynamics and diagnostics of rotor with faults have been gaining importance in recent years. in the present study a model-based method is proposed for the on-line identification of faults in a rotor. The fault-induced change of the rotor system is taken into account by equivalent loads in the mathematical model. The equivalent loads are virtual forces and moments acting on the linear undamaged system to generate a dynamic behaviour identical to the measured one of the damaged system. The rotor has been modelled using FEM, Each fault has been identified for its size and location on the shaft for transient and steady rotors. The nature and symptoms of the fault are ascertained using FFT or Wavelet transforms. For on-line rotor fault identification a combined (hybrid) model and signal-based approach is suggested.
机译:近年来,带有故障的转子的动力学和诊断已变得越来越重要。在本研究中,提出了一种基于模型的方法来在线识别转子中的故障。数学模型中的等效负载考虑了转子系统的故障引起的变化。等效载荷是作用在线性未损坏系统上的虚拟力和力矩,这些力和力矩会产生与被测系统之一相同的动态行为。转子已使用FEM建模。对于瞬态和稳定转子,每个故障的大小和在轴上的位置都已确定。使用FFT或小波变换可以确定故障的性质和症状。对于在线转子故障识别,提出了一种结合(混合)模型和基于信号的方法。

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