Tap changer vibration signal noise reduction method based on empirical mode decomposition EMD

Abstract

The invention discloses a tap changer vibration signal noise reduction method based on EMD. The method comprises the steps of: 1) collecting vibration signals in normal state and vibration signals infault state of an on-load tap changer (OLTC) through an acceleration sensor; 2) decomposing the collected vibration signals using the Empirical Mode Decomposition (EMD) algorithm to obtain IMF components; and 3) performing noise reduction process on the first few IMF components obtained by the EMD decomposition using a method based on EMD threshold noise reduction and performing noise reduction process on the remaining IMF components using Savitzky-Golay filter. According to the tap changer vibration signal noise reduction method, experimental data reveal that according to the tap changer vibration signal noise reduction method, a better noise reduction effect to the vibration signal of the tap changer can be achieved.

Description

technical field [0001] The invention relates to the technical field of on-load tap-changer fault diagnosis, in particular to a method for processing vibration signals of an on-load tap-changer OLTC based on empirical mode decomposition (EMD). Background technique [0002] As one of the core components of the transformer, the transformer on-load tap changer OLTC plays an important role in stabilizing the load center voltage, adjusting the reactive power flow, and increasing the flexibility of power grid dispatching in the power system. During the operation of the on-load tap-changer, the collision or friction between the mechanism parts will generate vibration signals, which contain rich equipment status information. However, the vibration signals collected on site often contain abnormal data and various noises, which will affect the results of vibration signal analysis. Therefore, before analyzing the vibration signal, it is very important to select a suitable noise reducti...

AI Technical Summary

Problems solved by technology

The noise reduction method based on wavelet transform has been widely used in mechanical fault diagnosis. However, the decomposition result obtained by wavelet transform after the wavelet base and decomposition scale is selected is a time-domain waveform of a fixed frequency segment, which contains frequency The composition is only related to the analysis frequency of the signal, but has nothing to do with the signal itself, so from this point of view, the wavelet transform does not have adaptive signal decomposition characteristics

Images