Results 11 to 20 of about 2,284 (152)

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, Chunling Ma, Ruiheng Zhang, Daming Zhou, Yigeng Huangfu, S. M. Muyeen   +5 more
semanticscholar   +5 more sources

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

Sensors, 2023
Train axlebox bearings are subject to harsh service conditions, and the difficulty of diagnosing compound faults has brought greater challenges to the maintenance of high–quality train performance.
Yongliang Bai, Hai Xue, Jiangtao Chen
doaj   +2 more sources

A Novel Hybrid Residential Load Forecasting Model Using Symplectic Geometry Mode Decomposition and Gru Neural Network

SSRN Electronic Journal, 2022
Yuting Lü, Gaocai Wang, Xianfei Huang, Man Wu   +3 more
semanticscholar   +3 more sources

A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine [PDF]

Sensors, 2020
The vibration signal induced by bearing local fault has strong nonstationary and nonlinear property, which indicates that the conventional methods are difficult to recognize bearing fault patterns effectively.
Xiaoan Yan, Ying Liu, Minping Jia
doaj   +2 more sources

Partial Discharge Fault Diagnosis in Power Transformers Based on SGMD Approximate Entropy and Optimized BILSTM [PDF]

Entropy
Partial discharge (PD) fault diagnosis is of great importance for ensuring the safe and stable operation of power transformers. To address the issues of low accuracy in traditional PD fault diagnostic methods, this paper proposes a novel method for the ...
Haikun Shang, Zixuan Zhao, Jiawen Li, Zhiming Wang   +3 more
doaj   +2 more sources

Dengue fever prediction based on meteorological features and deep learning models [PDF]

Infectious Disease Modelling
The 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, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai   +4 more
doaj   +2 more sources

Pulling Back Theorem for Generalizing the Diagonal Averaging Principle in Symplectic Geometry Mode Decomposition and Singular Spectrum Analysis [PDF]

18 pages, 6 figures, 5 ...
Hong‐Yan Zhang, Haoting Liu, Zhiqiang Feng, Changqing Dong, Rui-Jia Lin, Yu Zhou, Fuyun Li   +6 more
openalex   +3 more sources

Partial Discharge Fault Diagnosis in Power Transformer Based on Symplectic Geometry Mode Decomposition and Optimized Convolutional Neural Networks

, 2023
Haikun Shang, Zhidong Liu, Tao Huang, Ranzhe Zhang, Feng Li   +4 more
openalex   +2 more sources

A hybrid medium-long-term photovoltaic power forecasting model based on symplectic geometry mode decomposition and Mamba

Energy Reports
Feng Zhao, Xinyuan Wang, Xinhao Li, Dapeng Cheng, Xiulong Jia   +4 more
openaire   +2 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