Dependence of binaural and cochlear “best delays” on characteristic frequency

2005 ◽  
pp. 477-483 ◽  
Author(s):  
Philip X. Joris ◽  
Marcel van der Heijden ◽  
Dries H. Louage ◽  
Bram Van de Sande ◽  
Cindy Van Kerckhoven
Keyword(s):  
Characteristic Frequency

scholarly journals Complexity and characteristic frequency studies in ECG signals of mice based on multiple scale factors

2011 ◽  
Vol 54 (6) ◽  
pp. 544-552
Author(s):  
XiaoDong Yang ◽  
AiJun He ◽  
Peng Liu ◽  
TongFeng Sun ◽  
XinBao Ning
Keyword(s):  
Characteristic Frequency ◽  
Multiple Scale ◽  
Ecg Signals ◽  
Scale Factors

Recognition of Bearing Faults of the Same Kind

1991 ◽  
Author(s):  
Ming Bao ◽  
Chun-sheng Zhao
Keyword(s):  
Condition Monitoring ◽  
Characteristic Frequency ◽  
Correct Equation ◽  
Bearing Faults ◽  
Single Fault ◽  
Equipment Utilization ◽  
Bearing Part ◽  
Fault Characteristic

Abstract Condition monitoring has gained much acceptance because of the reduction of maintenance expenses and the increase of rate of equipment utilization. It is very important that the serious degrees of machinery faults is correctly predicted. Two faults in a bearing part is, of course, more serious than the single fault is. If the features of bearing faults of the same kind are not recognized, faults of the same kind are, then, mistaken for a single fault, the serious consequences may be caused. The features of bearing faults of the same kind are presented and the illustrations are given in the paper. Meanwhile, the correct equation of roller’ s fault characteristic frequency is expounded conveniently.

Effects of material texture and packing density on the interfacial polarization of granular soils

Geophysics ◽  
2021 ◽  
pp. 1-58
Author(s):  
Hang Chen ◽  
Qifei Niu
Keyword(s):  
Electrical Conductivity ◽  
Packing Density ◽  
Characteristic Frequency ◽  
Effective Permittivity ◽  
Scale Up ◽  
Interfacial Polarization ◽  
Granular Soils ◽  
Geologic Materials ◽  
Effective Electrical Conductivity ◽  
Material Texture

Many electrical and electromagnetic (EM) methods operate at MHz frequencies, at which the interfacial polarization occurring at the solid-liquid interface in geologic materials may dominate the electrical signals. To correctly interpret electrical/EM measurements, it is therefore critical to understand how the interfacial polarization influences the effective electrical conductivity and permittivity spectra of geologic materials. We have used pore-scale simulation to study the role of material texture and packing in interfacial polarization in water-saturated granular soils. Synthetic samples with varying material textures and packing densities are prepared with the discrete element method. The effective electrical conductivity and permittivity spectra of these samples are determined by numerically solving the Laplace equation in a representative elementary volume of the samples. The numerical results indicate that the effective permittivity of granular soils increases as the frequency decreases due to the polarizability enhancement from the interfacial polarization. The induced permittivity increment is mainly influenced by the packing state of the samples, increasing with the packing density. Material textures such as the grain shape and size distribution may also affect the permittivity increment, but their effects are less significant. The frequency characterizing the interfacial polarization (i.e., the characteristic frequency) is mainly related to the electrical contrast of the solid and water phases. The model based on the traditional differential effective medium (DEM) theory significantly underestimates the permittivity increment by a factor of more than two and overestimates the characteristic frequency by approximately 1 MHz. These inaccurate predictions are due to the fact that the electrical interactions between neighboring grains are not considered in the DEM theory. A simple empirical equation is suggested to scale up the theoretical depolarization factor of grains entering the DEM theory to account for the interaction of neighboring grains in granular soils.

Lithology discrimination for thin layers using wavelet signal parameters

Geophysics ◽  
1988 ◽  
Vol 53 (12) ◽  
pp. 1512-1519 ◽  
Author(s):  
James N. Lange ◽  
H. A. Almoghrabi
Keyword(s):  
Thin Layer ◽  
Frequency Domain ◽  
Prior Knowledge ◽  
Characteristic Frequency ◽  
Forward Modeling ◽  
Pore Fluid ◽  
Thin Layers ◽  
Modeling Technique ◽  
Fluid Type ◽  
Signal Parameters

A forward modeling technique using Ricker wavelets demonstrates the need for a multiparameter approach in lithology determination using reflections from thin layers. The combination of time‐ and frequency‐domain analyses leads to a set of algorithms which define pore fluid and lithology from wavelet characteristics. The dispersive behavior of the thin layer varies considerably with the environment surrounding the layer, resulting in characteristic frequency‐domain behavior. With a limited prior knowledge of the formation environment, the pore fluid type can be determined using mode‐converted waves in the frequency domain.

Peculiarities of magnetic moment switching in the φ(0) junction

2021 ◽  
Author(s):  
Toktar Belgibayev ◽  
Yury Shukrinov ◽  
Andrej Plecenik ◽  
Jiri Pechousek ◽  
Cestmir Burdik
Keyword(s):  
Josephson Junction ◽  
Magnetic Moment ◽  
Magnetization Reversal ◽  
Characteristic Frequency ◽  
Easy Axis ◽  
Critical Value ◽  
Model Parameters ◽  
Memory Element ◽  
Superconducting Current ◽  
A Current

Abstract We have investigated the dynamics of magnetization under a current pulse in a φ0 - junction with a direct coupling between the magnetic moment and the superconducting current. The correspondence between the magnetization value at the end of the pulse mz * and the realization of the magnetization reversal along the easy axis of the ferromagnetic is considered. The crucial influence of the ratio w of the ferromagnetic frequency to the characteristic frequency of the Josephson junction on the results of reversal predictions is demonstrated. Effect of w magnitude on the manifestation of periodicity bands in the mz * dependence on the model parameters is shown. There is a critical value of the Gilbert damping, above which the magnetization reversal is not realized. It is shown that at small w the magnitude mz * can be as a criterion of magnetization reversal. I.e., if mz * <0, the magnetization reversal would happen with 100 percent probability. The results can be used in various areas of superconducting spintronics, in particular, to create a memory element based on the Josephson $ {\varphi_0} $ junction

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