Results 71 to 80 of about 10,183 (167)

Prediction of dissolved gas content in transformer oil based on multi‐information fusion

High Voltage
In order to accurately predict the content and variation trend of dissolved gas in transformer oil and guide the condition maintenance of power transformers, a combined prediction model based on multi‐information fusion is proposed and its effectiveness ...
Tongliang Yang, Yun Fang, Chengming Zhang, Chao Tang, Dong Hu   +4 more
doaj   +1 more source

Fault detection for highly coupled signals in the piercing process based on multivariate variational mode decomposition

Abstract The tremendous success in fault diagnosis of engineering applications with nonstationary signals has been shared for many decades. Most of the signal pre-processing approaches have been studied by many scholars with admirable results.
Wei-Ling Wang, Tsung-Liang Wu
openaire   +1 more source

Investigating dimensionally-reduced highly-damped systems with multivariate variational mode decomposition: An experimental approach

Structural health monitoring (SHM) is an essential engineering field aimed at ensuring the safety and reliability of civil infrastructures. This study proposes a methodology using multivariate variational mode decomposition (MVMD) for damage detection and modal identification.
R, Lakhadive Mehulkumar, Sharma, Anshu, Bhowmik, Basuraj   +2 more
openaire   +2 more sources

A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms. [PDF]

Sensors (Basel)
Cao T, Cui Y, Tan H, Lu W, Zhang F, Liu K, Chen X, Chen Y, Wang L.   +8 more
europepmc   +1 more source

A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm. [PDF]

Sensors (Basel)
Pian J, Chen X.
europepmc   +1 more source

Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT. [PDF]

Micromachines (Basel)
Li H, Sun F, Tian J, He X, Zhu T.
europepmc   +1 more source

Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]

Sci Rep
Mundada T, Ramdhave S, Jain S, Gupta S.
europepmc   +1 more source

A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]

Entropy (Basel)
Li Y, Liu D.
europepmc   +1 more source

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]

PLoS One
Tabassum S, Nower N.
europepmc   +1 more source

Multivariate Variational Mode Decomposition Improves Dynamic Causal Modeling for FMRI Data

2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Charalampos Lamprou, Aamna Alshehhi, Leontios J Hadjileontiadis, Mohamed L Seghier   +3 more
openaire   +1 more source