… applications to practical diagnostic task. This article proposes an adaptive and efficient
variational mode decomposition method after thoroughly investigating its convergence property …

… modes of the measured fault signal decomposed by EEMD, the first 10 of which are shown in
Fig. 13. Only the first six modes … uses these six modes as a basis for K value selection in the …

… Thus, suitable parameter selection is the core of MVMD in practical applications; it is also …
and its application in rotating machinery fault diagnosis,” Mech. Syst. Signal Process., vol. …

… This paper proposes a method to improve the VMD parameters and successfully applied
to the fault diagnosis of wind power gearbox. The proposed method can efficiently and …

… in sub-optimal decomposition performance. Although some … , the problems in these improved
methods like mode redundancy … drawbacks, an adaptive variational mode decomposition (…

… Vibration signals are fully used in fault diagnosis because of their … and its amplitude varies
with time. For the complex multi-component signal, it is usually necessary to decompose it into …

… series of intrinsic modes. A certain number of the intrinsic modes are then selected by means
of … representations were reconstructed via the selected intrinsic modes; then, the envelope …

… index is inefficient in judging the decomposition of healthy (without fault-related … -tuned
variational mode decomposition is proposed to determine the optimal values of decomposition …

… A vibration fault diagnosis method based on the VMD and energy entropy is proposed in …
vibration signal decomposition into non-recursive and variational mode decomposition. This …

… Based on the above literature, this paper proposes a rolling-bearing fault-diagnosis method
based on Variational Mode Decomposition improved by the Niche Genetic Algorithm (NGA-…