Results 151 to 160 of about 38,147 (211)
Some of the next articles are maybe not open access.
A Denoising Method of Partial Discharge Signal Based on Improved SVD-VMD
IEEE transactions on dielectrics and electrical insulation, 2023A denoising method combined with singular value decomposition (SVD) and variational mode decomposition (VMD) is proposed to eliminate noise in on-site partial discharge (PD) signals from high-voltage electrical equipment.
Z. Lei, Feiyu Wang, Chuanyang Li
semanticscholar +1 more source
Using the VMD's product information database
Veterinary Record, 2015WE would like to highlight an important issue to vets regarding changes made to the authorised Summary of Product Characteristics (SPC) of veterinary medicinal products. Changes can be made for a number of reasons, most commonly as a result of pharmacovigilance data or new data generated by the marketing authorisation holder (MAH).
Suzanne, Eckford, Giles, Davis
openaire +2 more sources
Scientific Reports
Accurately predicting agricultural commodity prices is challenging due to their unpredictable and complex nature. Existing models often fail to capture nonlinear and nonstationary patterns in price data, resulting in less accurate forecasts.
K. Choudhary +3 more
semanticscholar +1 more source
Accurately predicting agricultural commodity prices is challenging due to their unpredictable and complex nature. Existing models often fail to capture nonlinear and nonstationary patterns in price data, resulting in less accurate forecasts.
K. Choudhary +3 more
semanticscholar +1 more source
Journal of Vibration and Control
Early and accurate bearing fault diagnosis is crucial for aeroengine safety and operational efficiency. This paper proposes a novel deep learning framework for aeroengine-bearing fault diagnosis, leveraging the strengths of variational mode ...
Anping Wan +6 more
semanticscholar +1 more source
Early and accurate bearing fault diagnosis is crucial for aeroengine safety and operational efficiency. This paper proposes a novel deep learning framework for aeroengine-bearing fault diagnosis, leveraging the strengths of variational mode ...
Anping Wan +6 more
semanticscholar +1 more source
Extraction of Adventitious Sounds from Noisy Lung Sound using VMD-KLD and VMD-JSD
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019Lung sound (LS) provides a convenient technique to detect and discriminate the respiratory diseases. However, in realistic environments these sound recording are subject to serious noise contamination which may be addressed by Variational Mode decomposition (VMD).
Sonia Gupta +2 more
openaire +1 more source
Measurement science and technology, 2023
Owing to the nonlinearity and nonstationarity of the bearing fault signal, it is difficult to identify fault characteristics under the influence of a strong noise environment. The extraction of early weak fault features is critical for the reliability of
Jianqing Luo +4 more
semanticscholar +1 more source
Owing to the nonlinearity and nonstationarity of the bearing fault signal, it is difficult to identify fault characteristics under the influence of a strong noise environment. The extraction of early weak fault features is critical for the reliability of
Jianqing Luo +4 more
semanticscholar +1 more source
Journal of Veterinary Dentistry, 1997
This paper describes the use of Bioglass ® Synthetic Bone Graft Particulate (PerioGlas™ /Consil™ ) in the treatment of osseous periodontal defects, and in post-extraction sites to maintain the vertical height and width of the alveolar ridge. The material is easy to use, inhibits epithelial down-growth, and acts as a mechanical hemostatic agent ...
openaire +1 more source
This paper describes the use of Bioglass ® Synthetic Bone Graft Particulate (PerioGlas™ /Consil™ ) in the treatment of osseous periodontal defects, and in post-extraction sites to maintain the vertical height and width of the alveolar ridge. The material is easy to use, inhibits epithelial down-growth, and acts as a mechanical hemostatic agent ...
openaire +1 more source
Structural Health Monitoring
Aiming at the problem that the weak fault signal of rolling bearing is affected by background noise and the weak fault signal itself leads to the difficulty in extracting fault features, a weak fault diagnosis method of rolling bearing based on sparrow ...
X. Luan +4 more
semanticscholar +1 more source
Aiming at the problem that the weak fault signal of rolling bearing is affected by background noise and the weak fault signal itself leads to the difficulty in extracting fault features, a weak fault diagnosis method of rolling bearing based on sparrow ...
X. Luan +4 more
semanticscholar +1 more source
Environmental Research, 2023
Air quality index (AQI) is a key index for monitoring air pollution and can be used as guide for ensuring good public health. Accurate AQI prediction allows timely control and management of air pollution.
Kai Wang +3 more
semanticscholar +1 more source
Air quality index (AQI) is a key index for monitoring air pollution and can be used as guide for ensuring good public health. Accurate AQI prediction allows timely control and management of air pollution.
Kai Wang +3 more
semanticscholar +1 more source
Charging Load Forecasting of Electric Vehicles Based on VMD–SSA–SVR
IEEE Transactions on Transportation ElectrificationIn order to reduce the impact of electric vehicles (EVs) charging load on the power grid, an EV load prediction model based on variational mode decomposition (VMD) and support vector regression (SVR) are proposed against the background of the real-time ...
Yanjuan Wu, Peizhi Cong, Yunliang Wang
semanticscholar +1 more source