Symplectic geometric mode decomposition

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Entropy-Fused Enhanced Symplectic Geometric Mode Decomposition for Hybrid Power Quality Disturbance Recognition [PDF]

Entropy
Electrical networks face operational challenges from power quality-affecting disturbances. Since disturbance signatures directly affect classifier performance, optimized feature selection becomes critical for accurate power quality assessment.
Chencheng He +4 more
doaj +4 more sources

The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis [PDF]

Sensors, 2023
Extracting the fault characteristic information of rolling bearings from intense noise disturbance has been a heated research issue. Symplectic geometry mode decomposition (SGMD) has already been adopted for bearing fault diagnosis due to its advantages ...
Yanfei Liu +5 more
doaj +2 more sources

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 +4 more
doaj +2 more sources

Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM

IEEE Access, 2023
It is always a hot and challenging problem to extract the characteristic information of roller bearings from strong noise interference. Conventional Hilbert-Huang Transform (HHT), Local Mean Decomposition (LMD), Local Feature-Scale Decomposition (LCD ...
Yanfei Liu +5 more
doaj +1 more source

Research on the Fault Feature Extraction of Rolling Bearings Based on SGMD-CS and the AdaBoost Framework

Energies, 2021
Symplectic geometric mode decomposition (SGMD) is a newly proposed signal processing method. Because of its superiority, it has gained more and more attention in the field of fault diagnosis. However, the similar component reorganization problem involved
Hui Li +5 more
doaj +1 more source

Feature Extraction of Gearbox Early Fault based on ISGMD and MED

Jixie chuandong, 2022
Aiming at the difficulty in identifying early faults and compound faults of gearboxes under strong noise background，a method of extracting fault features based on the combination of improved symplectic geometry mode decomposition （ISGMD） and minimum ...
Shuzhou Dong, Xunpeng Qin, Shiming Yang
doaj

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 +5 more
doaj +1 more source

Economic Optimization of Hybrid Energy Storage Capacity for Wind Power Based on Coordinated SGMD and PSO

Energies
Under the dual carbon objectives, wind power penetration has accelerated markedly. However, the inherent volatility and insufficient peak regulation capability in energy storage allocation hamper efficient grid integration.
Kai Qi +4 more
doaj +1 more source

基于SE-improved SGMD的混合储能容量优化配置方法研究

Gaoya dianqi
采用混合储能系统平抑风电输出功率波动可有效解决风电并网问题，而不同功率分配方法对混合储能优化配置结果影响大，为此提出一种基于样本熵改进的辛几何模态分解方法（sample entropy-improved symplectic geometric mode decomposition，SE-improved SGMD）的混合储能系统功率分配策略。首先，采用SGMD对不平衡功率进行分解，获取一系列辛几何分量SGC（symplectic geometry component）；然后 ...
刘禹彤, 赵琳, 王鑫太
doaj

Train Axlebox Bearing Fault Diagnosis Based on MSC-SGMD. [PDF]

Sensors (Basel), 2023
Bai Y, Xue H, Chen J.
europepmc +1 more source

rolling bearings
fault diagnosis