Empirical mode decomposition (EMD) has been applied to various applications in signal
processing. However, EMD is susceptible to close mode characteristic frequencies and …

The application of the improved empirical mode decomposition (EMD) theory in gearbox
fault diagnosis has been studied in this paper, and the transient features of gearbox …

In order to identify the nonlinear nonstationary pitting-wear fault signal of gears in gearbox, a
new method of composite fault diagnosis for gearbox is proposed, which combines empirical …

Empirical mode decomposition (EMD) is a powerful tool for the non-stationary and nonlinear
signal analysis and has attracted considerable attention recently. However, one of primary …

Empirical mode decomposition (EMD) has the shortcoming of mode mixing in decomposing
signals. To overcome this shortcoming, ensemble empirical mode decomposition (EEMD) is …

During the operation process of a gearbox, the vibration signals can reflect the dynamic
states of the gearbox. The feature extraction of the vibration signal will directly influence the …

The selection of variational mode decomposition (VMD) parameters usually adopts the
empirical method, trial-and-error method, or single-objective optimization method. The …

In order to solve the problem of modal aliasing in the processing of complex fault signal with
background noise by local mean decomposition (LMD), and the difficulty of extracting and …

Complementary ensemble empirical mode decomposition (CEEMD) has been developed
for the mode-mixing problem in Empirical Mode Decomposition (EMD) method. Compared …

Variational Mode Decomposition (VMD) can decompose signals into multiple intrinsic mode
functions (IMFs). In recent years, VMD has been widely used in fault diagnosis. However, it …