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FAULT FEATURE EXTRACTING FOR ROTATING MACHINERY VIBRATION BASED ON BLIND DECONVOLUTION AND SPECTRAL KURTOSIS

机译:基于盲反卷积和谱峰度的旋转机械振动故障特征提取

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摘要

Rotating machinery vibration analysis involves a convolute mixture because of the propagation medium, and the signals recorded by sensors in an industrial application are often disrupted by the environment. Deconvolution is a signal processing method for
机译:由于传播介质的原因,旋转机械振动分析涉及回旋混合物,并且在工业应用中传感器记录的信号通常会受到环境的干扰。反卷积是一种用于

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