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
doaj +4 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.
Hanieh Shabanian +2 more
exaly +5 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 ...
Fei Mei, Jianyong Zheng
exaly +5 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
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ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT)
Jixie qiangdu, 2023 To accurately characterize the different operating states of the rotor system, a modified variational mode decomposition（MVMD） combined with instantaneous energy distribution permutation entropy（IEDPE） is proposed to quantify and extract rotor fault ...
WU YaoChun +6 more
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM
International Transactions on Electrical Energy SystemsDue to the intermittent and fluctuating nature of wind power generation, it is difficult to achieve the desired prediction accuracy for wind power prediction.
Xiqing Zang +3 more
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A Novel Fault Diagnosis Method for Diesel Engine Based on MVMD and Band Energy [PDF]
Shock and Vibration, 2020 Vibration signal, as an important means for diesel engine condition detection and fault diagnosis, has attracted attention for many years. In traditional vibration signal analysis, most processing methods are for single-channel data.
Cheng Gu +3 more
doaj +3 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 +3 more sources
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
Transient Electromagnetic Noise Suppression Based on MVMD and GMDFA
, 2023 Noise suppression is an important topic in transient electromagnetic (TEM) data processing and interpretation. TEM data is a typical broadband signal, which makes it difficult to separate the signal in the whole frequency band. The conventional methods tend to process data trace by trace, ignoring the connections between channels.
Xiaojuan Zhang +3 more
openaire +2 more sources