Fault Diagnosis for Rotor Systems Based on Wavelet Transform and EEMD
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摘要: 针对工程车辆传动系统工作过程油温过高导致车辆工作效率不高的问题,对传动系统的变速箱部分进行热平衡分析。以某工程车辆的变速箱齿轮传动系统作为研究对象,用热网络法建立了该系统稳态工作状况下的热平衡方程组,并给出了相应的功率损失、热阻及对流换热系数的计算模型。采用自行编制的计算程序对方程进行求解,得出了在稳态条件下达到热平衡状态时变速箱内各节点的温度分布,为车辆传动箱的分析设计提供了理论参考。Abstract: Aiming at the composite fault diagnosis of the rotor failure and weak roller bearing fault, a fault diagnosis method was proposed based on the wavelet transform and the ensemble empirical mode decomposition by separating the coupling features of the composite fault and extracting the frequency of fault signals. Firstly original signals were decomposed and reconstructed by using the wavelet. Then non-modulation low-frequency fault feature was extracted using FFT for the low-frequency signals obtained from the decomposition and reconstruction of original signals. The high-frequency modulated signals from the decomposition and reconstruction of original were analyzed by envelop demodulation based on the ensemble empirical mode decomposition (EEMD), and the modulated fault feature was extracted. Analyzing results of engineering signals indicated that the method can extract the composite fault feature of rollin bearings successfully.
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