Partial discharge signal feature extraction based on Hilbert-Huang transform

摘要

For on-site partial discharge detection signal contains a lot of noise, we propose a PD signal recovery method based on Hilbert-Huang transform, and simulate the denoising experiment; through the EMD decomposition of the signal with noise, and selecting the appropriate component of the superposition of the IMF, we can skillfully eliminate outside noise and retains most characteristics of partial discharge signal with little distortion. Experiments show that this method is efficient and feasible.