Results 11 to 20 of about 7,852 (282)
Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition
Energies, 2019 The harmonic pollution problem in power grids has become increasingly prominent with the large-scale application of power electronic equipment, nonlinear loads, and renewable energy.
Guowei Cai +4 more
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Adaptive Variational Nonlinear Chirp Mode Decomposition
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Variational nonlinear chirp mode decomposition (VNCMD) is a recently introduced method for nonlinear chirp signal decomposition that has aroused notable attention in various fields. One limiting aspect of the method is that its performance relies heavily
Hao Liang 0011 +4 more
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Short-time variational mode decomposition
Signal Processing13 pages, 11 ...
Hao Jia +9 more
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Shock and Vibration, 2021 In order to improve the diagnosis accuracies of the current diagnosis methods, a novel fault diagnosis method of automobile gearbox based on novel successive variational mode decomposition and weighted regularized extreme learning machine is presented ...
Yijiao Wang, Guoguang Zhou
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Noise-Assisted Multivariate Variational Mode Decomposition [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 The variational mode decomposition (VMD) is a widely applied optimization-based method, which analyzes non-stationary signals concurrently. Correspondingly, its recently proposed multivariate extension, i.e., MVMD, has shown great potentials in analyzing multichannel signals.
Zisou, Charilaos A. +2 more
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Applied Sciences, 2022 The spectral decomposition is a valuable tool for improving the resolution of seismic interpretation, and thus can improve the accuracy of the subtle geo-features (thin and narrow channels, thin reservoirs, etc.).
Jiaxuan Leng, Zhichao Yu, Chaodong Wu
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Application of Variational Mode Decomposition based on the FOA and in Bearing Fault Diagnosis
Jixie chuandong, 2020 The variational mode decomposition （VMD） is widely used in fault diagnosis. Extracting fault characteristics from vibration signals is a critical part in the bearing fault diagnosis.
Chang Liu, Yanxue Wang, Jianwei Yang
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Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection [PDF]
Scientific ReportsAccurate 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 +3 more
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Faulty bearing features by variational mode decomposition [PDF]
Vibroengineering Procedia, 2017 This paper proposes a hybrid method based on Variational Mode Decomposition method (VDM) for detection of faulty bearing frequencies. The application of this method calls for a determination of the number of relevant frequencies K and a balancing parameter α; these are the key parameters of the VDM method.
Djamal Zarour +3 more
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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
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