Results 11 to 20 of about 211 (127)

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, DU YingJun, WEI Guang, DONG XinMin, GAO LiPeng, LIU YuXi   +5 more
doaj   +2 more sources

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   +2 more sources

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, Keqilao Meng, Xiangdong Meng, Fengwei Zhao, Yuefei Lü   +4 more
doaj   +2 more sources

Early Fault Diagnosis of Bearings Based on Symplectic Geometry Mode Decomposition Guided by Optimal Weight Spectrum Index

Symmetry
When the rotating machinery fails, the signal generated by the faulty component often no longer maintains the original symmetry, which makes the vibration signal with nonlinear and non-stationary characteristics, and is easily affected by background noise and other equipment excitation sources.
Chenglong Wei, Yiqi Zhou, Bo Han, Pengchuan Liu   +3 more
openaire   +2 more sources

Impact Features Extracting Method for a Reciprocating Compressor Based on the ABC-SGMD Model

Applied Sciences
In 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, Fengfeng Bie, Qianqian Li, Zhaolong Zhou, Xinting Miao, Siyi Zhang   +5 more
doaj   +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

A Fuel Cell Aging Prediction Method Based on Symplectic Geometry Mode Decomposition and Divide-and-Conquer Gated Recurrent Unit

IEEE Transactions on Energy Conversion
The superposition of aging characteristics in fuel cells is a major cause of inaccurate predictions. Unlike traditional methods that mix linear and nonlinear aging characteristics, this paper develops a prediction method based on Symplectic Geometry Mode Decomposition and Divide-and-Conquer Gated Recurrent Units (SGMD-DCGRU).
Zhuang Tian, Chenyuhao Ma, Ruiheng Zhang, Daming Zhou, Yigeng Huangfu, S. M. Muyeen   +5 more
openaire   +4 more sources

Gear fault diagnosis based on SGMD noise reduction and CNN

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022
Gear vibration fault signals are non-stationary and nonlinear, so it is very difficult to accurately extract the fault characteristics for diagnosis. As symplectic geometry mode decomposition (SGMD) has shown excellent decomposition performance and noise
Wei CHEN, Hao WANG, Zhuoxian LI, Zhexin ZHOU   +3 more
doaj   +1 more source

Spatial Load Forecasting Based on RIME-Optimized Combination Modal Decomposition and Informer [PDF]

Dianli jianshe
[Objective] This paper proposes a spatial load forecasting method based on RIME-optimized combination modal decomposition and Informer to provide accurate load data for power system planning. [Methods] First， a power geographic information system for the
XIAO Bai, LI Sen, JIAO Mingxi, DU Binbin, XU Weibin, GE Yulin, GAO Jian
doaj   +1 more source

High‐Resolution Mapping of Discharge Product in Li─O2 Batteries

Small Methods, EarlyView.
Li─O2 batteries promise exceptional energy density, but have several factors limiting performance, such as poor rate performance. To understand rate limitations, scanning electron microscopy with energy dispersive X‐ray spectroscopy and X‐ray nano‐computed tomography were employed to map the distribution of discharge products in discharged air ...
Laurence F. Brazel, Margherita Martini, Eric Maire, Arnaud Demortière, Michael De Volder, Clare P. Grey, Israel Temprano   +6 more
wiley   +1 more source