Discussion on the Difference in the Effect of Multiple Processing Methods of Vibration Signals of Hydropower Units

Abstract

According to statistics, more than 80% of the faults in hydropower units can be reflected in the vibration signal, so it is of great significance to effectively process the vibration signal signal of the hydropower unit for the safe operation of the hydropower unit. Empirical Mode Decomposition (EMD) is an adaptive signal decomposition method that breaks down data from high to low frequency into a series of Intrinsic Mode Function (IMF) and a margin. Local Mean Decomposition (LMD) solves the endpoint effect problem of EMD to some extent, but it cannot be ignored. Variational Mode Decomposition (VMD) solves the problem that EMD is drowned in the noise background in a noisy background, resulting in the inability to obtain the signal feature component. This paper mainly discusses the difference between EMD, LMD and VMD when processing vibration signals with noise of hydropower units.