Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network
Time series prediction of aerodynamic noise is critical for oscillatory instabilities analyses in fluid systems. Due to the significant dynamical and non-stationary characteristics of aerodynamic noise, it is challenging to precisely predict its temporal behavior. Here, we propose a method combining...
Saved in:
| Main Authors: | Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/14/7896 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecast of Aging of PEMFCs Based on CEEMD-VMD and Triple Echo State Network
by: Jie Sun, et al.
Published: (2025-06-01) -
Aerodynamic Noise Control of the Converter for Railway Vehicle
by: YAN Meng, et al.
Published: (2015-01-01) -
Research on Seismic Noise Attenuation Method Based on Wavelet Transform and f-x-VMD
by: Chenhao Lian, et al.
Published: (2025-01-01) -
Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals
by: Shireen Fathima, et al.
Published: (2023-01-01) -
On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model
by: Samuel Asante Gyamerah
Published: (2022-03-01)