Zobrazeno 1 - 10
of 784
pro vyhledávání: '"Intrinsic mode functions"'
Publikováno v:
电力工程技术, Vol 43, Iss 4, Pp 95-103 (2024)
Pulse injection to simulate partial discharge (PD) is the main method for functional verification of gas insulated switchgear (GIS) ultra high frequency (UHF) PD monitoring device. Due to the different coupling modes of pulse injection in field verif
Externí odkaz:
https://doaj.org/article/c4368234fc3d4204836473616eb96a9e
Autor:
R., Manikandan, R., Raja Singh
Publikováno v:
Circuit World, 2023, Vol. 50, Issue 1, pp. 90-107.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CW-09-2022-0241
Publikováno v:
Water, Vol 16, Iss 17, p 2452 (2024)
The fluctuation of the tide is closely related to the production and life of people in coastal areas, and the change in the tide level will have a significant impact on the safety of infrastructure, ship travel, ecological environment, and other issu
Externí odkaz:
https://doaj.org/article/e6511b1799584d94ab336a470a612959
Autor:
X. F. Tang
Publikováno v:
Metalurgija, Vol 63, Iss 3-4, Pp 350-352 (2024)
The paper introduces an innovative framework for rotating machinery fault recognition by combining Empirical Mode Decomposition (EMD) and Convolutional Neural Network (CNN). This novel approach integrates feature extraction and selection, utilizing d
Externí odkaz:
https://doaj.org/article/2cb55a0ea42640458318dd7a799d28b7
Autor:
Bin Wu
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 1, Pp 1967-1974 (2023)
Deep learning networks have a high calculation volume, which is one of their problems. To solve this defect, the data of intrinsic modes obtained from the application of empirical mode decomposition to Electroencephalograph signals were used for the
Externí odkaz:
https://doaj.org/article/417f4d984b854ec6a7f97ab393366a62
Autor:
Owusu Junior, Peterson, Hung, Ngo Thai
Publikováno v:
The Journal of Risk Finance, 2023, Vol. 24, Issue 4, pp. 393-423.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JRF-06-2022-0129
Publikováno v:
Energies, Vol 17, Iss 10, p 2395 (2024)
Accurate wind power forecasting (WPF) is critical in optimizing grid operations and efficiently managing wind energy resources. Challenges arise from the inherent volatility and non-stationarity of wind data, particularly in short-to-medium-term WPF,
Externí odkaz:
https://doaj.org/article/49820858b21d49eb815a3c0f9110bfe2
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 3, Pp 968-980 (2023)
The dynamic structural responses are sensitive to the time-frequency content of seismic waves, and seismic input motions in time-history analysis are usually required to be compatible with design response spectra according to nuclear codes. In order
Externí odkaz:
https://doaj.org/article/3d755d8fbbab47ea8922a43731161c08
Autor:
Shireen Fathima, Maaz Ahmed
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 2, Pp 1-8 (2023)
Electroencephalogram (EEG) signals being time-resolving signals, suffer very often from baseline drift caused by eye movements, breathing, variations in differential electrode impedances, movement of the subject, and so on. This leads to misinterpret
Externí odkaz:
https://doaj.org/article/358ec9ba789748e4a9835930fb49a9ec
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