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The application of energy operator demodulation approach based on EMD in machinery fault diagnosis

机译:基于EMD的能量算子解调方法在机械故障诊断中的应用

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An energy operator demodulation approach based on EMD (Empirical Mode Decomposition) is proposed to extract the instantaneous frequencies and amplitudes of the multi-component amplitude-modulated and frequency-modulated (AM-FM) signals. Furthermore the proposed approach is applied to machinery fault diagnosis. Firstly, EMD method is used to decompose a multi-component AM-FM signal into a number of intrinsic mode functions (IFMs). Secondly, the energy operator demodulation method is applied to each IMF and the instantaneous amplitudes and frequencies of a multi-component AM-FM signal are extracted. Finally, the spectrum analysis is applied to each instantaneous amplitude in order to obtain envelope spectra from which the mechanical fault can be diagnosed. The analysis results show that the energy operator demodulation approach based on EMD can extract the characteristic of machinery fault vibration signals efficiently.
机译:提出了一种基于EMD(经验模态分解)的能量算子解调方法,以提取多分量调幅和调频(AM-FM)信号的瞬时频率和幅度。此外,所提出的方法被应用于机械故障诊断。首先,使用EMD方法将多分量AM-FM信号分解为许多固有模式函数(IFM)。其次,将能量算子解调方法应用于每个IMF,并提取多分量AM-FM信号的瞬时幅度和频率。最后,将频谱分析应用于每个瞬时振幅,以获得可以从中诊断出机械故障的包络频谱。分析结果表明,基于EMD的能量算子解调方法可以有效地提取机械故障振动信号的特征。

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