Results 121 to 130 of about 5,511 (164)

Real-Time Evaluation System of Transformer Winding Short-Circuit Withstand Capability Based on Symplectic Geometry Mode Decomposition and Extreme Learning Machine

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE), 2021
Aiming at the difficulty of real-time monitoring of winding during transformer operation and insufficient methods for evaluating the short-circuit withstand capability of winding, a real-time evaluation system for the short-circuit withstand capability of transformer winding is proposed.
Jiaxu Wang, Jian Guo
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Structural Modal Parameters Identification Under Ambient Excitation Using Optimized Symplectic Geometry Mode Decomposition

International Journal of Structural Stability and Dynamics, 2023
In the process of structural modal parameters identification under environmental excitation, the employed measured dynamic response signal is usually non-stationary and contains noise. As a novel signal analyzed method, symplectic geometry mode decomposition (SGMD) has been proven to be effective for dealing with non-stationary and noisy signals ...
Feng Hu, Lunhai Zhi, Kang Zhou, Shouji Li, Zhixiang Hu   +4 more
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A bearing fault diagnosis method with improved symplectic geometry mode decomposition and feature selection

Measurement Science and Technology
Abstract A rolling bearing fault diagnosis method based on improved symplectic geometry mode decomposition (SGMD) and feature selection was proposed to solve the problem of low fault identification due to the influence of noise on early bearing fault features.
Shengfan Chen, Xiaoxia Zheng
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Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition

Structural Health Monitoring
Rolling bearing compound faults (RBCF) always interact and couple with each other, which makes it tremendously challenging to accurately diagnose them by processing the collected vibration signals. For the sake of separating and extracting fault features in RBCF, a novel method based on enhanced minimum entropy deconvolution (EMED) with adaptive ...
Shengqiang Li, Changfeng Yan, Yunfeng Hou, Bin Liu, Yu Tian, Lixiao Wu   +5 more
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An Adaptive Threshold-Selected Symplectic Geometry Mode Decomposition for Application to Multi-modulation Complex Fault Signals

Measurement Science and Technology
Abstract The signals obtained from complex mechanical systems are characterized by multilevel modulation and strong noise, which can lead to difficulties in fault feature extraction. Symplectic geometry mode decomposition (SGMD) proves to be a valid approach for decomposing signals.
Zhe Lv, Congming Li, Xiaoyan Xiong, Xiangrong Wang, Wei Song, Bing Wu   +5 more
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Residential load forecasting based on symplectic geometry mode decomposition and GRU neural network with attention mechanism

Applied Stochastic Models in Business and Industry
AbstractShort‐term residential load forecasting plays an increasingly important role in modern smart grids, with its main challenge being the high volatility and uncertainty of load curves. This article proposes a hybrid Symplectic Geometry Mode Decomposition‐Gated Recurrent Unit with Attention Mechanism (SGMD‐GRUAM) model for hourly residential load ...
Yuting Lu, Gaocai Wang, Xianfei Huang, Man Wu   +3 more
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A Fault Diagnosis Method Based on Optimized SVDD And Multi-Symplectic Geometry Mode Decomposition for Rolling Bearings

2023 23rd International Conference on Control, Automation and Systems (ICCAS), 2023
Jianqun Zhang, Qing Zhang, Wenzong Feng, Yuantao Sun   +3 more
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Energy bubble entropy guided symplectic geometry mode decomposition for rotating machinery incipient fault feature extraction

Measurement Science and Technology
Abstract Extracting incipient fault features is a critical aspect of monitoring the rotating machinery operation condition. However, existing methods based on symplectic geometry mode decomposition (SGMD) suffer from limited parameter adaptability and noise robustness. Therefore, this paper proposes an energy bubble entropy (EbEn) guided
Wenxin Jiang, Hongkai Jiang, Renhe Yao, Mingzhe Mu, Yutong Dong   +4 more
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An Improved Symplectic Geometry Mode Decomposition Method for Rolling Bearing Fault Diagnosis under Variable Speed Conditions

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2021
Guangyao Zhang, Yi Wang, Yi Qin, Baoping Tang   +3 more
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Enhanced symplectic geometry mode decomposition and its application to rotating machinery fault diagnosis under variable speed conditions

Mechanical Systems and Signal Processing, 2022
Guangyao Zhang, Yi Wang, Xiaomeng Li, Baoping Tang, Yi Qin   +4 more
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