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
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Partial Discharge Fault Diagnosis in Power Transformers Based on SGMD Approximate Entropy and Optimized BILSTM [PDF]
EntropyPartial 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 +3 more
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A Novel Joint Denoising Method for Hydrophone Signal Based on Improved SGMD and WT [PDF]
SensorsUnderwater acoustic technology as an important means of exploring the oceans is receiving more attention. Denoising for underwater acoustic information in complex marine environments has become a hot research topic.
Tianyu Xing +3 more
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A Systematic Framework for Optimizing a Sweeping Gas Membrane Distillation (SGMD) [PDF]
Membranes, 2020 The present work has undertaken a meticulous glance on optimizing the performance of an SGMD configuration utilized a porous poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-co-HFP) membrane.
Nawras N. Safi +6 more
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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
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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 +3 more
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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
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Research on the Fault Feature Extraction of Rolling Bearings Based on SGMD-CS and the AdaBoost Framework [PDF]
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
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Comparative Energetics of Various Membrane Distillation Configurations and Guidelines for Design and Operation [PDF]
Membranes, 2023 This paper presents a comparative performance study of single-stage desalination processes with major configurations of membrane distillation (MD) modules.
Md Rashedul Islam +4 more
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Integrating network pharmacology and experimental verification to study the mechanism of Polygonum hydropiper total flavonoids against stress-induced gastric mucosal damage [PDF]
HeliyonContext: Polygonum hydropiper L. (P. hydropiper) has outstanding clinical efficacy in treating both acute and chronic gastroenteritis. However, the definite mechanism remains unclear. Objective: This study aimed to explore the potential mechanisms of the
Bangpei Chen +8 more
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