Results 31 to 40 of about 26,466 (149)
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was proposed to solve the unclear fault characterization of rolling bearing vibration signal ...
Junbo Zhou +3 more
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Accurate water level prediction is of great importance for water infrastructures such as dams, embankments, and agriculture. However, the water level has nonlinear characteristics, which make it very challenging to accurately predict the water level ...
Wen Yan Xing +4 more
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Daily lake-level time series spectral analysis using EMD, VMD, EWT, and EFD
This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series.
Farhad Alizadeh, Kiyoumars Roushangar
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Accurate modeling for nonlinear and nonstationary rainfall-runoff processes is essential for performing hydrologic practices effectively. This paper proposes two hybrid machine learning models (MLMs) coupled with variational mode decomposition (VMD) to ...
Youngmin Seo +2 more
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In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed ...
SUN Shuguang +5 more
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ObjectivesVeterinary antibiotics are vital for managing bacterial infections in animals and preventing zoonotic transmission through animal-derived foods, direct contact, or the environment.
Amon Bwalya +10 more
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In this documentation, the basic and intermediate documentation of VMD molecular dynamics visualization software from University of Illinois at Urbana-Champaign are provided. This documentation includes user guide for opening and loading molecular structure files, change drawing options of molecular structures like CPK, tube, ribbon and etc., change ...
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Accurate water demand forecasting is essential to operate urban water supply facilities efficiently and ensure water demands for urban residents. This study proposes an extreme learning machine (ELM) coupled with variational mode decomposition (VMD) for ...
Youngmin Seo +2 more
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GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction
The vibration signal of an early rolling bearing is nonstationary and nonlinear, and the fault signal is weak and difficult to extract. To address this problem, this paper proposes a genetic mutation particle swarm optimization variational mode ...
Jiakai Ding +3 more
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To VMD, or not to VMD, in the quark-gluon plasma
I review results on the shift of the $ $ meson mass at nonzero temperature in a gauged linear sigma model, under the assumption of strict vector meson dominance. (Based upon a talk presented at the International Workshop on "Chiral Dynamics in Hadrons and Nuclei", Seoul, Korea, Feb., 1995).
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