Short-term wind speed prediction model based on GA-ANN improved by VMD
Y Zhang, G Pan, B Chen, J Han, Y Zhao, C Zhang - Renewable energy, 2020 - Elsevier
Wind power, as a potential new energy generation technology, is gradually developing
towards to the mainstream energy in the world. However, the inherent random volatility of …
towards to the mainstream energy in the world. However, the inherent random volatility of …
An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings
MGA Nassef, TM Hussein, O Mokhiamar - Measurement, 2021 - Elsevier
Variational mode decomposition (VMD) method is a recently employed signal processing
technique for fault identification from the vibration signal of rolling bearings. However, the …
technique for fault identification from the vibration signal of rolling bearings. However, the …
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Z Liu, H Liu - Measurement, 2023 - Elsevier
Accurate wind speed prediction is of great significance to the stable operation of wind power
systems. In this study, a hybrid model integrating variational mode decomposition optimized …
systems. In this study, a hybrid model integrating variational mode decomposition optimized …
Fault Diagnosis of Hydraulic Pumps Using PSO‐VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy
F Zhou, X Yang, J Shen, W Liu - Shock and Vibration, 2020 - Wiley Online Library
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the
dynamic features of complex signals recently. Compared with multiscale sample entropy …
dynamic features of complex signals recently. Compared with multiscale sample entropy …
NLOS signal detection and correction for smartphone using convolutional neural network and variational mode decomposition in urban environment
Q Liu, C Gao, R Shang, Z Peng, R Zhang, L Gan… - GPS Solutions, 2023 - Springer
With the rapid development of mobile communications, location-based service for
smartphones has received extensive attention, becoming an indispensable part of smart …
smartphones has received extensive attention, becoming an indispensable part of smart …
A hybrid prediction model for forecasting wind energy resources
Y Zhang, G Pan - Environmental Science and Pollution Research, 2020 - Springer
Wind energy is important to the transformation and development of global energy, because it
is clean and renewable. However, the productivity of wind power is low due to its volatility …
is clean and renewable. However, the productivity of wind power is low due to its volatility …
Application of optimized variational mode decomposition based on kurtosis and resonance frequency in bearing fault feature extraction
H Li, T Liu, X Wu, Q Chen - Transactions of the Institute of …, 2020 - journals.sagepub.com
Variational mode decomposition (VMD) is an adaptive signal processing method proposed
recently. It has gradually been widely used due to its good performance. According to the …
recently. It has gradually been widely used due to its good performance. According to the …
A novel hybrid decomposition—ensemble prediction model for dam deformation
E Cao, T Bao, C Gu, H Li, Y Liu, S Hu - Applied Sciences, 2020 - mdpi.com
Accurate and reliable prediction of dam deformation (DD) is of great significance to the safe
and stable operation of dams. In order to deal with the fluctuation characteristics in DD for …
and stable operation of dams. In order to deal with the fluctuation characteristics in DD for …
Feature extraction algorithm using a correlation coefficient combined with the VMD and its application to the GPS and GRACE
Y Shen, W Zheng, W Yin, A Xu, H Zhu - IEEE Access, 2021 - ieeexplore.ieee.org
To improve the reliability of the Global Positioning System (GPS) and Gravity Recovery and
Climate Experiment (GRACE) feature extraction, this paper uses a correlation coefficient …
Climate Experiment (GRACE) feature extraction, this paper uses a correlation coefficient …
Exploration of multi-scale reconstruction framework in dam deformation prediction
R Yuan, C Su, E Cao, S Hu, H Zhang - Applied Sciences, 2021 - mdpi.com
Affected by various complex factors, dam deformation monitoring data usually reflect
volatility and non-linear characteristics, and traditional prediction models are difficult to …
volatility and non-linear characteristics, and traditional prediction models are difficult to …