Results 71 to 80 of about 36,269 (184)
Gear Fault Diagnosis Method Based on Deep Transfer Learning
Aiming at the problem of insufficient gear fault samples, a fault diagnosis method of transfer learning based on Hilbert-Huang spectrum and pre-trained VGG16 model is proposed.
Liu Shihao, Wang Xiyang, Gong Tingkai
doaj +2 more sources
Comparison of methods for the identification of mesoscale wind speed fluctuations
Mesoscale wind speed fluctuations influence the characteristics of offshore wind energy. These recurring wind speed changes on time scales between tens of minutes and six hours lead to power output fluctuations. In order to investigate the meteorological
Anna Rieke Mehrens, Lueder von Bremen
doaj +1 more source
Applications of Fast Iterative Filtering in NMR Spectroscopy: Baseline Correction
Fast iterative filtering is a signal decomposition technique related to empirical mode decomposition. When decomposing NMR data into intrinsic mode functions, FIF effectively partitions broad baseline components from narrow peaks components, even in heavily distorted spectra, for instance, those of paramagnetic compounds.
Letizia Fiorucci +4 more
wiley +1 more source
Permanent magnet synchronous machine stator windings fault detection by Hilbert–Huang transform
The Hilbert–Huang transform (HHT) is a time-frequency signal analysis method based on empirical mode decomposition and the Hilbert transform. It is well suited for reliable fault detection since it is unaffected by transient conditions which might cause ...
Fernando Alvarez-Gonzalez +3 more
doaj +1 more source
Humidity's influence on visible region refractive index structure parameter $C_n^2$ [PDF]
In the infrared and visible bandpass, optical propagation theory conventionally assumes that humidity does not contribute to the effects of atmospheric turbulence on optical beams. While this assumption may be reasonable for dry locations, we demonstrate
Andreas +14 more
core +2 more sources
Abstract Following significant natural hazards, traveling ionospheric disturbances (TIDs) are generated that affect the ionosphere. Understanding the three‐dimensional structure of these TIDs is crucial for understanding their propagation mechanisms. Ionospheric tomography is a viable method to reconstruct these three‐dimensional structures.
Danial Abdollahi +3 more
wiley +1 more source
Cutting force response in milling of Inconel: analysis by wavelet and Hilbert-Huang Transforms
We study the milling process of Inconel. By continuously increasing the cutting depth we follow the system response and appearance of oscillations of larger amplitude.
Grzegorz Litak +2 more
doaj +1 more source
Signal Processing Methods Monitor Cranial Pressure [PDF]
Dr. Norden Huang, of Goddard Space Flight Center, invented a set of algorithms (called the Hilbert-Huang Transform, or HHT) for analyzing nonlinear and nonstationary signals that developed into a user-friendly signal processing technology for analyzing ...
core +1 more source
Is current disruption associated with an inverse cascade? [PDF]
Current disruption (CD) and the related kinetic instabilities in the near-Earth magnetosphere represent physical mechanisms which can trigger multi-scale substorm activity including global reorganizations of the magnetosphere. Lui et al.
Baumjohann, W. +4 more
core +3 more sources
Targeting CA2 Perineuronal Nets Restores Recognition Memory and Theta Oscillations in Aged Mice
Targeting CA2 perineuronal nets restores social/non‐social recognition memory and theta oscillations in aged mice: Aged mice displayed deficits in both social and object recognition memory, which were accompanied by enhanced perineuronal nets (PNNs) density and reduced theta power in the dCA2 region.
Sonam Fathima Mehak +5 more
wiley +1 more source

