To: “The Determination of Optimum Gate Lengths for Time‐Varying Wiener Filtering” by Richard Wang, October 1969, p. 683–695

Geophysics ◽  
1970 ◽  
Vol 35 (1) ◽  
pp. 190-190
Keyword(s):  
Wiener Filtering ◽  
Time Varying

In the article “The Determination of Optimum Gate Lengths for Time‐Varying Wiener Filtering” by Richard Wang, October 1969, p. 683–695, the following corrections should be made.

A hybrid analytical-numerical method based on Isogeometric Analysis for determination of time varying gear mesh stiffness

2021 ◽  
Vol 160 ◽  
pp. 104291
Author(s):  
Andreas Beinstingel ◽  
Michael Keller ◽  
Michael Heider ◽  
Burkhard Pinnekamp ◽  
Steffen Marburg
Keyword(s):  
Numerical Method ◽  
Isogeometric Analysis ◽  
Time Varying ◽  
Mesh Stiffness ◽  
Gear Mesh ◽  
Gear Mesh Stiffness

Determination of the group velocity using the time-varying autoregressive TVAR

2007 ◽  
Author(s):  
R. Latif ◽  
E. Aassif ◽  
M. Laaboubi ◽  
G. Maze
Keyword(s):  
Group Velocity ◽  
Time Varying

scholarly journals Solution of a time-varying Wiener filtering problem

1967 ◽  
Vol 3 (12) ◽  
pp. 562 ◽  
Author(s):  
B.D.O. Anderson ◽  
J.B. Moore
Keyword(s):  
Wiener Filtering ◽  
Time Varying ◽  
Filtering Problem

scholarly journals Safety margin against the fatigue fracture under random loading

2018 ◽  
Vol 165 ◽  
pp. 22033 ◽  
Author(s):  
Martin Garan ◽  
Vladimír Chmelko ◽  
Ervin Schafer
Keyword(s):  
Yield Stress ◽  
Fatigue Fracture ◽  
Cross Section ◽  
Material Properties ◽  
Safety Margin ◽  
Time Varying ◽  
Random Loading ◽  
Fatigue Lifetime ◽  
Loading Process

The fatigue lifetime of the structure in operation is express in the number of working cycles, kilometers or time depending units. By harmonic process of loading is possible to express the safety margin as reserve against the required lifetime in the form of number cycles or amplitude of loading. By nonharmonic character of loading process in operation is difficult to express the level of safety margin as the reserve of loading (safety margin in loading). On the case of towing trailer will be discussed more ways of expression the reserve (safety margin) of structure against the fatigue fracture for required fatigue lifetime. For experimental acquired loading process in the most loaded cross-section will be discussed concept of determination of the level safety as reserve in the form of loading parameters. In the case, when the peaks of loading process exceeding the material yield stress (in the most loaded point of the structure) will be discussed concept of expression of loading in the form of time-varying process of strain. By using the cyclic material properties obtained in mode with controlled total strain is possible the safety margin to express also as the multiple of process loading parameters.

Time-varying wavelet estimation and deconvolution by kurtosis maximization

Geophysics ◽  
2008 ◽  
Vol 73 (2) ◽  
pp. V11-V18 ◽  
Author(s):  
Mirko van der Baan
Keyword(s):  
Field Measurements ◽  
Phase Changes ◽  
Data Driven ◽  
Wiener Filtering ◽  
Time Varying ◽  
Seismic Wavelet ◽  
Phase Rotation ◽  
Physical Laws ◽  
Kurtosis Maximization ◽  
Zero Phase

Phase mismatches sometimes occur between final processed sections and zero-phase synthetics based on well logs, despite best efforts for controlled-phase acquisition and processing. The latter are often based on deterministic corrections derived from field measurements and physical laws. A statistical analysis of the data can reveal whether a time-varying nonzero phase is present. This assumes that the data should be white with respect to all statistical orders after proper deterministic corrections have been applied. Kurtosis maximization by constant phase rotation is a statistical method that can reveal the phase of a seismic wavelet. It is robust enough to detect time-varying phase changes. Phase-only corrections can then be applied by means of a time-varying phase rotation. Alternatively, amplitude and phase deconvolution can be achieved using time-varying Wiener filtering. Time-varying wavelet extraction and deconvolution can also be used as a data-driven alternative to amplitude-only inverse-[Formula: see text] deconvolution.

Sign in / Sign up

Export Citation Format

Share Document