Results 21 to 30 of about 432 (152)

A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction [PDF]

Sensors
This 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, Lihui Wang, Jian Wei, Yifan Wang, Haifeng Wu   +4 more
doaj   +2 more sources

GIS partial discharge fault diagnosis method based on SGMD-LSTM

Dianzi Jishu Yingyong
To 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, Zhang Chao, Zhang Shiyong, Ma Pengchi, Yang Guang, Ding Hao   +5 more
doaj   +2 more sources

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, Fredy-Wsbaldo Barón-Núñez, Carlos-Jesús Muvdi-Nova   +2 more
doaj   +2 more sources

Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy

Entropy, 2019
Aiming at fault feature extraction of a hydraulic pump signal, a new method based on symplectic geometry mode decomposition (SGMD) and power spectral entropy (PSE) is proposed.
Zhi Zheng, Ge Xin
doaj   +2 more sources

Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model [PDF]

Frontiers in Sustainable Food Systems
The stability of agricultural futures market is of great significance to social economy and agri-cultural development. In view of the complexity of the fluctuation of agricultural futures prices, it is challenging to make up for the shortcomings of the ...
Tingting Zhang, Zhenpeng Tang
doaj   +2 more sources

Sim-Geometry Modal Decomposition (SGMD)-Based Optimization Strategy for Hybrid Battery and Supercapacitor Energy Storage Frequency Regulation

Symmetry
This study examines the issue of wind power smoothing in renewable-energy-grid integration scenarios. Under the “dual-carbon” policy initiative, large-scale renewable energy integration (particularly wind power) has become a global focus. However, the intermittency and uncertainty of wind power output exacerbate grid power fluctuations, posing ...
Yongling He, Zhengquan Zuo, Kang Shen, Jun Gao, Qiuyu Chen, Jianqun Liu, Haoyu Liu   +6 more
openaire   +2 more sources

Accuracy-Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD-CC and BA-ELM Model

Shock and Vibration
The current methods for early fault diagnosis of rolling bearing have some flaws, such as poor fault feature information and insufficient fault feature extraction capability, which makes it challenging to guarantee fault diagnosis accuracy.
Wei Yuan, Fuzheng Liu, Hongbin Gu, Fei Miao, Faye Zhang, Mingshun Jiang   +5 more
doaj   +2 more sources

MXene Membrane as Multifunctional Interface for Vapor Splitting via Photothermal-Catalytic Membrane Distillation. [PDF]

Adv Mater
A multifunctional MXene‐based membrane integrates photothermal evaporation and photocatalytic vapor splitting in a sweeping‐gas membrane distillation (PTC‐SGMD) platform, simultaneously generating freshwater and hydrogen. The SrTiO3/MX@PVDF interface leverages broad‐spectrum solar absorption, efficient heat/mass transfer, and gas–solid catalysis to ...
Sun J, Farid MU, Li X, Lu G, Guo J, Shang W, Boey M, Lee VPH, Guan X, Ravi SK, Gu B, An AK.   +11 more
europepmc   +2 more sources

Conformer-RL: A deep reinforcement learning library for conformer generation. [PDF]

J Comput Chem, 2022
Conformer‐RL is an open‐source Python package for generating conformers of molecules and polymers using deep reinforcement learning. The package includes pretrained models for generating conformers of several classes of covalently bonded molecules as well as a robust library for training and evaluating tailored models for custom molecules and tasks ...
Jiang R, Gogineni T, Kammeraad J, He Y, Tewari A, Zimmerman PM.   +5 more
europepmc   +2 more sources

Movement Disorders in Neuromyelitis Optica Spectrum Disorder: A Systematic Review. [PDF]

Mov Disord Clin Pract
Abstract Background Several movement disorders (MD) have been reported to occur in neuromyelitis optica spectrum disorder (NMOSD). No extensive review has addressed the whole spectrum of MD in NMOSD. Objective This article aims to review MD in NMOSD, describing its prevalence and features.
Bringel LAF, Lima PLGSB, Rodrigues PVF, Cavalcante FLHB, Pinheiro AR, Saraiva FMS, Rodrigues CP, Gonçalves PVS, Melo LJRA, Camelo-Filho AE, Dutra-Junior AM, Veras SRO, Carvalho FMM, Rolim FPS, Martins GJ, D'Almeida JAC, Braga-Neto P, Pitombeira MS, Nobrega PR.   +18 more
europepmc   +2 more sources