Abstract
Amplitude demodulation is an essential tool for diagnosing gears faults. The quality of the demodulation determines the efficiency of the spectrum analysis in detecting the defect. A signal analysis technique combining minimum entropy deconvolution (MED), empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO) is presented. The proposed method consists in enhancing the vibratory signal by using MED, decomposing this signal in intrinsic mode functions (IMF) and selects only the IMF which presents the highest correlation coefficient with the original signal. After that, TKEO is used to track the modulation energy. The spectrum is applied to the instantaneous amplitude. The simulation and experimental results show that an envelope spectrum analysis based on MED-EMD and TKEO provides a consistent signal analysis tool.
Highlights
It is well-known that the vibration signal from gears is a multi-component signal
Before computing Teager Kaiser energy operator (TKEO), we propose to decompose the signal in multi-components by using the empirical
– the third method consists in decomposing the signal using ensemble empirical mode decomposition (EEMD) into intrinsic mode functions (IMF) selecting the IMF with higher correlation coefficient and computing the TKEO
Summary
It is well-known that the vibration signal from gears is a multi-component signal. It presents a good time resolution but is very sensitive to noise For this reason, Minimum Entropy deconvolution (MED) is proposed to extract the fault impulses while minimizing the noise before computing EMD and the TKEO. – the second method consists in decomposing the signal using EMD into IMFs selecting the IMF with higher correlation coefficient and computing the TKEO (see Fig. 1);. – the third method consists in decomposing the signal using EEMD into IMFs selecting the IMF with higher correlation coefficient and computing the TKEO (see Fig. 1). The vibration signal x(t) of a gearbox can be described as a convolution between the impulse response function (IRF) of the transmission path h and the combined effect of an anomaly caused by a localized gear tooth fault (fault impulses) y(t), the deterministic signals d(t) inherent in operating gears and the noise.
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