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 +7 more sources
Comprehensive Separation Algorithm for Single-Channel Signals Based on Symplectic Geometry Mode Decomposition [PDF]
SensorsThis paper aims to explore the difficulty of obtaining source signals from complex mixed signals and the issue that the FastICA algorithm cannot directly decompose the received single-channel mixed signals and distort the signal separation in low signal ...
Xinyu Wang, Jin Zhao, Xianliang Wu
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Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy [PDF]
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 +8 more sources
Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM [PDF]
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 +4 more sources
Marine Controlled-Source Electromagnetic Data Denoising Method Using Symplectic Geometry Mode Decomposition [PDF]
Journal of Marine Science and Engineering, 2023 The marine controlled-source electromagnetic (CSEM) method is an efficient tool for hydrocarbon exploration. The amplitudes of signals decay rapidly with the increasing offset, so signals are easily contaminated by various kinds of noise.
Yijie Chen, Zhenwei Guo, Dawei Gao
doaj +4 more sources
Early Fault Diagnosis of Bearings Based on Symplectic Geometry Mode Decomposition Guided by Optimal Weight Spectrum Index [PDF]
SymmetryWhen 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 +3 more
semanticscholar +3 more sources
A bearing fault diagnosis method with improved symplectic geometry mode decomposition and feature selection [PDF]
Measurement Science and TechnologyAbstract 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
semanticscholar +3 more sources
An early fault diagnosis method of gear based on improved symplectic geometry mode decomposition
Measurement, 2019 Abstract Symplectic geometry mode decomposition (SGMD) is an effective signal processing method, and it has been applied in compound fault diagnosis successfully. However, for early gear fault vibration signals, SGMD has two shortcomings. On the one hand, SGMD directly reconstructs the trajectory matrix through the original time series, which may ...
Jian Cheng +4 more
semanticscholar +5 more sources
Residential load forecasting based on symplectic geometry mode decomposition and GRU neural network with attention mechanism [PDF]
Applied Stochastic Models in Business and IndustryAbstractShort‐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 Lü +3 more
semanticscholar +3 more sources
Measurement Science and TechnologyAbstract 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 +5 more
semanticscholar +3 more sources