Adaptive variational mode decomposition method for signal processing based on mode characteristic
By J. Lian, Zhuo Liu, Haijun Wang, Xiaofeng Dong. Mechanical systems and signal processing, 2018
312 citations recorded by the source corpus.
Abstract Variational mode decomposition is a completely non-recursive decomposition model, where all the modes are extracted concurrently. However, the model requires a preset mode number, which limits the adaptability of the method since a large deviation in the number of mode set will cause the discard or mixing of the mode. Hence, a method called Adaptive Variational Mode Decomposition (AVMD) was proposed to automatically determine the mode number based on the characteristic of intrinsic mode function. The method was used to analyze the simulation signals and the measured signals in the hydropower plant. Comparisons have also been conducted to evaluate the performance by using VMD, EMD and EWT. It is indicated that the proposed method has strong adaptability and is robust to noise. It can determine the mode number appropriately without modulation even when the signal frequencies are relatively close.
Subfields: Control and Systems Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/cf5e2b0a90ef61ec3b8288b5de8bd9b00dc9b046
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In Control and Systems Engineering
Citations in the corpus
- Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis (2023, methodology): “Decomposition methods can separate the different components from the original signal into several regular simple modes, that can be easily analyzed in the time and frequency domain [7].”