Household Appliance Fault Detection Based on Wavelet Denoising and HHT

Abstract

The Hilbert huang transform (HHT) is a kind of adaptive time-frequency processing method, applied to the home appliances on the fault detection, can effectively extract the fault feature effectively detecting for electric circuit aging, and electrical insulation breakdown caused by the problem of the water. In the actual collection electric current and voltage signal, often with a lot of noise, the HHT algorithm is sensitive to noise, in the use of empirical mode decomposition (EMD), mixed noise often caused a great deal of interference with the result of decomposition. In order to solve the noise interference caused by the results, this study adopted wavelet noise reduction method for signal denoising, household electrical appliances fault signal of noise reduction after Hilbert huang change, end up with Hilbert marginal spectrum of fault signal of the household electrical appliances, to extract the fault feature. The effectiveness of this method is verified by simulation and experiment.