Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
Energies, 2022 The accuracy and stability of short-term photovoltaic (PV) power prediction is crucial for power planning and dispatching in a grid system. For this reason, the multi-resolution variational modal decomposition (MVMD) method is proposed to achieve multi ...
Xiaozhi Gao, Hsiung-Cheng Lin
exaly +4 more sources
Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT [PDF]
MicromachinesThe stable and accurate output of the inertial measurement unit array (IMU) of a micro-electro-mechanical system (MEMS) is the key to ensuring the data fusion of the MEMS IMU array.
Hanyan Li +4 more
doaj +3 more sources
MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings [PDF]
Entropy, 2019 In order to extract fault features of rolling bearings to characterize their operation state effectively, an improved method, based on modified variational mode decomposition (MVMD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA ...
Zhuorui Li +3 more
doaj +5 more sources
A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model
Results in EngineeringGroundwater level prediction is critical for environmental protection and agricultural planning. Accurate predictions help manage risks associated with excessive groundwater extraction and land subsidence.
Akram Seifi +2 more
exaly +4 more sources
New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes [PDF]
Ecological Indicators, 2023 Reference evapotranspiration (ETo) is a vital climate parameter affecting plants' water use. ETo can generate large deficits in soil moisture and runoff in different regions and seasons, leading to uncertainties in drought warning systems.
Mumtaz Ali +8 more
doaj +2 more sources
Short-Term Photovoltaic Power Generation Based on MVMD Feature Extraction and Informer Model
Applied Sciences (Switzerland)Photovoltaic (PV) power fluctuates with weather changes, and traditional forecasting methods typically decompose the power itself to study its characteristics, ignoring the impact of multidimensional weather conditions on the power decomposition ...
Ruilin Xu, Jianyong Zheng, Fei Mei
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Gearbox fault diagnosis method based on MVMD-MOMEDA [PDF]
Journal of Hebei University of Science and Technology, 2023 Aiming at the problem that the early weak fault diagnosis of gearbox vibration signal is difficult due to the influence of complex transmission path and strong background noise, a gearbox fault diagnosis method based on multivariate variational mode ...
Suxiao CUI +4 more
doaj +2 more sources
Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine [PDF]
Complexity, 2020 Aiming at the chaotic characteristics of underwater acoustic signal, a prediction model of grey wolf-optimized kernel extreme learning machine (OKELM) based on MVMD is proposed in this paper for short-term prediction of underwater acoustic signals.
Hong Yang, Lipeng Gao, Guohui Li
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The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model
IEEE Transactions on Neural Systems and Rehabilitation EngineeringIn recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time.
Rui Li, Duanyang Bai, Zhijun Li
exaly +5 more sources
Mode decomposition-based time-varying phase synchronization for fMRI [PDF]
NeuroImage, 2022 Recently, there has been significant interest in measuring time-varying functional connectivity (TVC) between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data.
Hamed Honari, Martin A. Lindquist
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