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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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
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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
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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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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
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Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition [PDF]
Scientific ReportsThe Motor Imagery-Brain Computer Interface (MI-BCI) system is an effective approach for motor neurorehabilitation training and human-machine collaborative control.
Jun Zhi +7 more
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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
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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
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