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Bearing fault analysis using variational mode decomposition
2014 9th International Conference on Industrial and Information Systems (ICIIS), 2014Bearing health analysis plays a significant role in industry to improve reliability and performance of critical processes by alarming the faults at early stages. Conventional techniques do no guarantee to detect the faults at early stages because the low energy bearing frequencies get suppressed by stern noise and higher vibrations.
null Mohanty +2 more
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Ground Roll Attenuation Using Variational Mode Decomposition
Proceedings, 2015Ground roll is the main interference wave in seismic data, which is characterized by low frequency and high amplitude. Common techniques for ground roll attenuation include frequency filtering, windowed frequency filtering, f-k filtering, and so on.
W. Liu, S.Y. Cao, Y. He
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Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
Journal of Medical Systems, 2016Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac ailments. Detection of VT/VF is one of the important step in both automated external defibrillator (AED) and implantable cardioverter defibrillator (ICD) therapy.
R. K. Tripathy +2 more
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Variational mode decomposition denoising combined with the Hausdorff distance
Review of Scientific Instruments, 2017Variational mode decomposition (VMD) is a recently introduced adaptive signal decomposition algorithm with a solid theoretical foundation and good noise robustness compared with empirical mode decomposition (EMD). However, there is still a problem with this algorithm associated with the selection of relevant modes.
Wenping Ma +3 more
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2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal
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Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal
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Adaptive Variational Nonlinear Chirp Mode Decomposition
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Hao Liang +4 more
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Modern developments in germline pharmacogenomics for oncology prescribing
Ca-A Cancer Journal for Clinicians, 2022Natalie M Reizine, Peter H O'donnell
exaly
MGDMD: Multi-variate generalized dispersive mode decomposition
Signal Processing, 2022Madhukant Sharma, Udit Satija
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Effective uptake of submicrometre plastics by crop plants via a crack-entry mode
Nature Sustainability, 2020Lianzhen Li, Yongming Luo
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The default mode network in cognition: a topographical perspective
Nature Reviews Neuroscience, 2021Jonathan Smallwood +2 more
exaly