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Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction

机译:HHT方法对直升机转子失衡故障特征提取的可行性研究

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Firstly, using the Hilbert-Huang Transform (HTT) methods of data for the empirical mode decomposition (EMD), so as to extract the Intrinsic mode function (IMF) of the signal, and then do Hilbert transform to get the Hilbert spectrum of the signal. The method has great advantages to non-linear and non-stationary data signal. For helicopter rotor imbalance fault causes the body to the vibration characteristics of the data, the marginal spectrum analysis its, can get the valid fault feature.
机译:首先,使用Hilbert-Huang变换(HTT)数据的经验模式分解(EMD),以提取信号的内在模式功能(IMF),然后进行HILBERT转换以获得HILBERT频谱信号。该方法对非线性和非静止数据信号具有很大的优点。对于直升机转子不平衡故障导致身体对数据的振动特性,边际频谱分析可以获得有效的故障功能。

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