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I am using Empirical Mode Decomposition (EMD) algorithm to decompose a vibration signal generated by outer race bearing defect using case western réserve University data.

I am facing a problem: unlike noise-free faulty signal results, noisy signal results (I add noise to this signal with snr=3 or snr=-3) in only the first Intrinsic Mode Function (IMF) selected and giving the fault information.

Is it possible that only the first IMF be sensitive to the fault?

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As its name suggests, Empirical Mode Decomposition is empirical. Therefore, its behavior is very unstable and hard to predict. Moreover, it is highly computationally demanding. For bearing faults' detection, I strongly suggest cyclostationary analysis. This is the state of the art and it is covered throughly. For this task, EMD was popular for a short time but I strongly suggest avoiding it.

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  • $\begingroup$ I'm really grateful for your response, I'll take your suggestion into consideration $\endgroup$
    – RIMA
    Nov 15, 2022 at 15:28

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