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Analysis of Parallel Misalignment of Gear Coupling in Rotor System Using EEMD-median Filter Method

机译:使用EEMD中值滤波法分析转子系统中齿轮耦合的平行未对准

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As a key part of the mechanical automation system, the gear coupling rotor system often occurs faults, and more than 60% of faults are caused by misalignment. In order to further explore the impact of misalignment on the dynamic performance of the rotor system and reduce the occurrence of faults. A signal processing method combining EEMD, median filter as well as FFT is introduced to denoise the original signal, and finite element model is built. A gear coupling-multi-span rotor system test platform is established and results of the finite element analysis is used to verify the experiment. Finally, the parallel misalignment of the gear coupling is simulated by adjusting the distribution of bearing seat gasket. The dynamic response results of the rotor system under different parallel misalignments and different speeds are studied and the impact of parallel misalignment on rotor system is obtained, which has guiding significance for reducing rotor faults.
机译:作为机械自动化系统的关键部分,齿轮耦合转子系统通常会发生故障,超过60%的故障是由未对准引起的。为了进一步探索未对准对转子系统动态性能的影响,减少了故障的发生。引入了组合EEMD,中值滤波器以及FFT的信号处理方法以代替原始信号,构建有限元模型。建立齿轮耦合 - 多跨度转子系统测试平台,并且使用有限元分析的结果来验证实验。最后,通过调节轴承座垫圈的分布来模拟齿轮耦合的平行未对准。研究了转子系统下的动态响应结果和不同的平行错位和不同速度,并且获得了对转子系统的平行未对准的影响,其具有减少转子断层的引导意义。

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