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首页> 外文期刊>Journal of Computers >EMD Based on Independent Component Analysis and Its Application in Machinery Fault Diagnosis
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EMD Based on Independent Component Analysis and Its Application in Machinery Fault Diagnosis

机译：基于独立分量分析的EMD及其在机械故障诊断中的应用

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—Local rub-impact is the common fault in rotating machinery and results in impact and friction between rotor and stator. The vibration signal due to impact and friction is always non-stationary which includes three components, namely, the rub-impact signal, the background signal and the noise signal. EMD (Empirical mode decomposition) is based upon the local characteristic time scale of signal and could decompose the complicated signal into a number of IMFs (intrinsic mode functions). However, because the weak rub-impact signal is always submerged in the background signal and noise signal. The EMD procedure will generate the components redundancy. In order to solve the problem, a novel method combining with independent component analysis (ICA) and EMD is proposed. ICA is introduced into the EMD procedure, so that the components are orthogonal to each other and the components redundancy can be cut down. In the end, a much better decomposition performances can be obtained. Furthermore, integration of EMD with Hilbert envelope analysis is applied to component instantaneous amplitude in order to obtain envelope spectra from which the mechanical fault can be diagnosed. The analysis results from the rub-impact vibration signals show that the proposed method can be applied to the machinery fault diagnosis effectively.
机译：-Cal摩擦 - 冲击是旋转机械的常见故障，导致转子和定子之间的冲击和摩擦。由于冲击和摩擦引起的振动信号始终是非静止的，其包括三个部件，即摩擦冲击信号，背景信号和噪声信号。 EMD（经验模式分解）基于信号的局部特征时间尺度，并且可以将复杂的信号分解为多个IMF（内在模式函数）。但是，因为弱摩擦冲击信号始终淹没在后台信号和噪声信号中。 EMD过程将生成组件冗余。为了解决问题，提出了一种与独立分量分析（ICA）和EMD组合的新方法。 ICA被引入EMD程序，以便组件彼此正交，并且可以减少组件冗余。最后，可以获得更好的分解性能。此外，将EMD与Hilbert包络分析的集成应用于组件瞬时幅度，以获得可以诊断机械故障的包络光谱。耐摩擦振动信号的分析结果表明，所提出的方法可以有效地应用于机械故障诊断。

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