Results 1 to 10 of about 296,188 (298)

Variational Mode Decomposition for Raman Spectral Denoising [PDF]

Molecules, 2023
As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra. Hence, denoising is an important step before Raman spectral analysis. A novel
Xihui Bian, Zitong Shi, Yingjie Shao, Yuanyuan Chu, Xiaoyao Tan   +4 more
doaj   +7 more sources

Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction [PDF]

Entropy
Variational Mode Decomposition (VMD) serves as an effective method for simultaneously decomposing signals into a series of narrowband components. However, its theoretical foundation, the classical Wiener filter, exhibits limited adaptability when applied
Nuo Li, Hang Wang
doaj   +3 more sources

Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness [PDF]

Frontiers in Neuroscience
Aberrant alterations in any of the two dimensions of consciousness, namely awareness and arousal, can lead to the emergence of disorders of consciousness (DOC). The development of DOC may arise from more severe or targeted lesions in the brain, resulting
A G Ramakrishnan, Ramakrishnan Subasree
exaly   +3 more sources

Dynamic Bandwidth Variational Mode Decomposition

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Signal decomposition techniques aim to break down non-stationary signals into their oscillatory components, serving as a preliminary step in various practical signal processing applications. This has motivated researchers to explore different strategies,
Andreas Angelou, G. Apostolidis, L. Hadjileontiadis   +2 more
semanticscholar   +2 more sources

Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm [PDF]

Scientific Reports, 2023
A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
doaj   +2 more sources

Short-time Variational Mode Decomposition

Signal Processing
Variational mode decomposition (VMD) and its extensions like Multivariate VMD (MVMD) decompose signals into ensembles of band-limited modes with narrow central frequencies.
Hao Jia, Pengfei Cao, Tong Liang, C. Caiafa, Zhe Sun, Yasuhiro Kushihashi, A. Grau-Saldes, Y. Bolea, Feng Duan, Jordi Solé i Casals   +9 more
semanticscholar   +4 more sources

Composite fault diagnosis of gearbox based on empirical mode decomposition and improved variational mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
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 mode decomposition with improved variational mode decomposition ...
Jingyue Wang, Jiangang Li, Haotian Wang, Lixin Guo   +3 more
doaj   +2 more sources

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals

Algorithms
Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen   +5 more
doaj   +2 more sources

Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection [PDF]

Scientific Reports
Accurate forecasting of shipboard electricity demand is essential for optimizing Energy Management Systems (EMSs), which are crucial for efficient and profitable operation of shipboard power grids. To address this challenge, this paper introduces a novel
Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Maria Carmela Di Piazza   +3 more
doaj   +2 more sources

Electrocardiogram signals denoising using improved variational mode decomposition

Journal of Medical Signals and Sensors, 2021
Background: Electrocardiogram (ECG) plays a vital role in the analysis of heart activity. It can be used to analyze the different heart diseases and mental stress assessment also.
Vikas Malhotra, Mandeep Kaur Sandhu
doaj   +3 more sources