Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Complementary Ensemble Empirical Mode Decomposition"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 11, Pp 5272-5286 (2024)
ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a time
Externí odkaz:
https://doaj.org/article/494f27a793294a9e9c854ead4a62a7fa
Publikováno v:
Global Energy Interconnection, Vol 7, Iss 2, Pp 217-227 (2024)
The rapid growth of the Chinese economy has fueled the expansion of power grids. Power transformers are key equipment in power grid projects, and their price changes have a significant impact on cost control. However, the prices of power transformer
Externí odkaz:
https://doaj.org/article/dae11c5a7c244222beac5d040a9ee54e
Publikováno v:
You-qi chuyun, Vol 43, Iss 3, Pp 351-359 (2024)
[Objective] Pipeline network companies need to forecast the short-term natural gas loads of downstream users to ensure a stable gas supply. However, traditional load forecasting methods have various problems such as poor fitting effect and low foreca
Externí odkaz:
https://doaj.org/article/8d52954a6c614c7e94a83c33fb15e795
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract In practice, the near-bit drilling tool confronts with strong vibrations and high-speed rotation. Therein the original signal amplitude of the tool attitude measurements is relatively feeble, and the signal-to-noise ratio (SNR) is exceptiona
Externí odkaz:
https://doaj.org/article/16574beba2ed4df789d0bff3d8926d56
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 4, Pp 1507-1517 (2023)
Centrifugal pumps are a crucial part of nuclear power plants, and their dependable and safe operation is crucial to the security of the entire facility. Cavitation will cause the centrifugal pump to violently vibration with the large number of vacuol
Externí odkaz:
https://doaj.org/article/34e117c94d524a3b9ccb13fbabd5f7c9
Publikováno v:
IEEE Access, Vol 11, Pp 67370-67384 (2023)
The objective of this research work is to extend the scope of the empirical mode decomposition (EMD) algorithm, as an efficient tool to decompose the nonlinear and non-stationary time series. For EMD to be widely applicable, the extension utilizes bo
Externí odkaz:
https://doaj.org/article/cf77157bf855422baac4b5cebfdcd816
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-18 (2022)
Abstract In recent years, due to the non-stationary behavior of data samples, modeling and forecasting the stock price has been challenging for the business community and researchers. In order to address these mentioned issues, enhanced machine learn
Externí odkaz:
https://doaj.org/article/2557a5fd667340e19d81c14e372f6107
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