Feature cognitive model combined by an improved variational mode and singular value decomposition for fault signals
Author:
Affiliation:
1. Institute of Electric PowerInner Mongolia University of TechnologyHohhot010051People's Republic of China
2. Micron Intelligent Manufacturing Systems Science and Technology (Beijing) Co., LtdBeijing100086People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Pharmacology (medical)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ccs.2020.0009
Reference22 articles.
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3. Quantile‐based empirical mode decomposition: an efficient way to decompose noisy signals;Park M.;IEEE Trans. Instrum. Meas.,2015
4. Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted‐CART classifier;Xu Y.;Biomed. Signal Process. Control,2018
5. Greedy adaptive decomposition of signals based on nonlinear Fourier atoms;Kou K.I.;Int. J. Wavelets Multiresolution Inf. Process.,2016
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