Partial Discharge Signal Denoising Using the Empirical Mode Decomposition
نویسندگان
چکیده
This paper presents the findings of an investigation into Partial Discharge signal denoising using techniques based on Empirical Mode Decomposition. The denoising techniques are based on thresholding the Intrinsic Mode Functions which result from the Empirical Mode Decomposition of a signal. The results of the tests carried out show clearly that these techniques can produce excellent results when applied to simulated Partial Discharge data. Furthermore, in the case of the data used in these simulations the techniques are able to outperform a Discrete Wavelet Transform based denoising technique.
منابع مشابه
Empirical mode decomposition based denoising of partial discharge signals
-Empirical Mode Decomposition (EMD) has recently been introduced as a local and fully data-driven technique aimed at analyzing nonstationary signals, by decomposing nonstationary signals into Intrinsic Mode Functions (IMFs). In this contribution, we employ it to process the signals of partial discharge, a typical type of nonstationary signal. Based on the IMFs extracted from the corrupted signa...
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