Comprehensive Separation Algorithm for Single-Channel Signals Based on Symplectic Geometry Mode Decomposition [PDF]
SensorsThis paper aims to explore the difficulty of obtaining source signals from complex mixed signals and the issue that the FastICA algorithm cannot directly decompose the received single-channel mixed signals and distort the signal separation in low signal ...
Xinyu Wang, Jin Zhao, Xianliang Wu
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The Role of the Morphological Characterization of Multilayer Hydrophobized Ceramic Membranes on the Prediction of Sweeping Gas Membrane Distillation Performances. [PDF]
Membranes (Basel), 2022 This paper shows which morphological characterization method is most appropriate to simulating membrane performance in sweeping gas membrane distillation in the case of multilayer hydrophobized ceramic membranes.
Fawzy MK +3 more
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OPERATING CONDITIONS INFLUENCE ON VMD AND SGMD FOR ETHANOL RECOVERY FROM AQUEOUS SOLUTIONS
CT&F Ciencia, Tecnología & Futuro, 2015 This work focuses on Vacuum Membrane Distillation (VMD) and Sweeping Gas Membrane Distillation (SGMD) as a separating technique of ethanol from aqueous solutions. VMD was studied at moderate temperature (30, 40 and 50°C) and pressure (0.11, 0.20 and 0.30
Ricardo-Javier Cotamo-De la Espriella +2 more
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Numerical evaluation of sweeping gas membrane distillation for desalination of water towards water sustainability and environmental protection [PDF]
Scientific ReportsSweeping gas membrane distillation (SGMD) is considered a membrane distillation configuration. It uses an air stream to collect the water vapour.
Yan Cao +2 more
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Analysis and Experimental Study on Water Vapor Partial Pressure in the Membrane Distillation Process [PDF]
Membranes, 2022 In membrane distillation, the vapor pressure difference is the driving force of mass transfer. The vapor pressure is generally assumed by the saturation pressure and calculated by the Antoine equation.
Zanshe Wang +4 more
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RESEARCH ON ROLLING BEARING FAULT FEATURE EXTRACTION METHOD WITH SGMD-MOMEDA (MT)
Jixie qiangdu, 2022 Aiming at the problem that the vibration signal of rolling bearing is difficult to extract due to the characteristics of non-linear, non-stationary and low signal-to-noise ratio, a new fault extraction method based on symplectic geometry mode ...
CAO YaLei +5 more
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Dengue fever prediction based on meteorological features and deep learning models [PDF]
Infectious Disease ModellingThe dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), and accurately predicting its epidemiological trends is crucial.
Yunyun Cheng +4 more
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A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction [PDF]
SensorsThis study addresses the issue of resistance plate deterioration in ultra-high voltage energy devices by proposing an improved symplectic geometric mode decomposition-wavelet packet (ISGMD-WP) algorithm that effectively extracts the component ...
Pinzhang Zhao +4 more
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GIS partial discharge fault diagnosis method based on SGMD-LSTM
Dianzi Jishu YingyongTo accurately diagnose partial discharge faults in Gas Insulated Switchgear (GIS), a fault diagnosis method based on Symplectic Geometric Mode Decomposition (SGMD) and improved Long Short Term Memory (LSTM) is proposed.
Zhang Yun +5 more
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Impact Features Extracting Method for a Reciprocating Compressor Based on the ABC-SGMD Model
Applied SciencesIn the typical vibration signal of a reciprocating air compressor, multi-source nonlinear characteristics are exhibited and are often drowned out in background noise, which leads to a lack of robustness in traditional feature analysis methods and ...
Jiaxun Li +5 more
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