Statistical Analysis of Manufacturer Difference for Miniature Triode Tube Characteristics Based on Physical Model Parameters

2020 ◽  
Vol 140 (1) ◽  
pp. 1-8
Author(s):  
Masaki Inui ◽  
Reo Sasaki ◽  
Toshihiko Hamasaki
Keyword(s):  
Statistical Analysis ◽  
Physical Model ◽  
Model Parameters

Wear-Factor Prediction Based on Data-Driven Inversion Technique for Casing Wear Estimation

2020 ◽  
Author(s):  
Manish K. Mittal ◽  
Robello Samuel ◽  
Aldofo Gonzales
Keyword(s):  
Physical Model ◽  
Factor Model ◽  
Data Driven ◽  
Wear Volume ◽  
Model Parameters ◽  
Wear Factor ◽  
Side Force ◽  
Inversion Technique ◽  
Casing Wear ◽  
Volume Output

Abstract Wear factor is an important parameter for estimating casing wear, yet the industry lacks a sufficient data-driven wear-factor prediction model based on previous data. Inversion technique is a data-driven method for evaluating model parameters for a setting wherein the input and output values for the physical model/equation are known. For this case, the physical equation to calculate wear volume has wear factor, side force, RPM, tool-joint diameter, and time for a particular operation (i.e., rotating on bottom, rotating off bottom, sliding, back reaming, etc.) as inputs. Except for wear factor, these values are either available or can be calculated using another physical model (wear-volume output is available from the drilling log). Wear factor is considered the model parameter and is estimated using the inversion technique method. The preceding analysis was performed using soft-string and stiff-string models for side-force calculations and by considering linear and nonlinear wear-factor models. An iterative approach was necessary for the nonlinear wear-factor model because of its complexity. Log data provide the remaining thickness of the casing, which was converted into wear volume using standard geometric calculations. A paper [1] was presented in OMC 2019 discussing a method for bridging the gap. A study was conducted in this paper for a real well based on the new method, and successful results were discussed. The current paper extends that study to another real well casing wear prediction with this novel approach. Some methods discussed are already included in the mentioned paper.

scholarly journals A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation

2019 ◽  
Vol 27 (8) ◽  
pp. 1229-1240 ◽  
Author(s):  
Leonardo Gabrielli ◽  
Stefano Tomassetti ◽  
Stefano Squartini ◽  
Carlo Zinato ◽  
Stefano Guaiana
Keyword(s):  
Physical Model ◽  
Parameters Estimation ◽  
Model Parameters ◽  
Multi Stage

scholarly journals Statistical Analysis of the Stability of Rock Slopes

2019 ◽  
Vol 7 (3) ◽  
pp. 60 ◽  
Author(s):  
Marcel van Gent ◽  
Ermano de Almeida ◽  
Bas Hofland
Keyword(s):  
Statistical Analysis ◽  
Physical Model ◽  
Model Tests ◽  
Water Levels ◽  
Test Series ◽  
Length Effect ◽  
Wave Flume ◽  
Physical Model Tests ◽  
Erosion Area ◽  
The Stability

Physical model tests were performed in a wave flume at Deltares with rock armoured slopes. A shallow foreshore was present. At deep water, the same wave conditions were used, but by applying different water levels, the wave loading on the rock armoured slopes increased considerably with increasing water levels. This allowed an assessment of the effects of sea level rise. Damage was measured by using digital stereo photography (DSP), which provides information on each individual stone that is displaced. Two test series were performed five times. This allowed for a statistical analysis of the damage to rock armoured slopes, which is uncommon due to the absence of statistical information based on a systematic repetition of test series. The statistical analysis demonstrates the need for taking the mean damage into account in the design of rock armoured slopes. This is important in addition to characterising the damage itself by erosion areas and erosion depths. The relation between damage parameters, such as the erosion area and erosion depth, was obtained from the tests. Besides tests with a straight slope, tests with a berm in the seaward slopes were also performed. A new method to take the so-called length effect into account is proposed to extrapolate results from physical model tests to real structures. This length effect is important, but is normally overlooked in the design of rubble mound structures. Standard deviations based on the presented model tests were used.

Monte-Carlo Simulation of the Theoretical Site Response Variability at Turkey Flat, California, Given the Uncertainty in the Geotechnically Derived Input Parameters

1993 ◽  
Vol 9 (4) ◽  
pp. 669-701 ◽  
Author(s):  
Edward H. Field ◽  
Klaus H. Jacob
Keyword(s):  
Monte Carlo ◽  
Physical Model ◽  
Site Response ◽  
Input Parameter ◽  
Model Parameters ◽  
Spectral Ratios ◽  
Parameter Uncertainties ◽  
Theoretical Predictions ◽  
High Degree ◽  
Geotechnical Studies

In the weak-motion phase of the Turkey Flat blind-prediction effort, it was found that given a particular physical model of each sediment site, various theoretical techniques give similar estimates of the site response. However, it remained to be determined how uncertainties in the physical model parameters influence the theoretical predictions. We have studied this question by propagating the physical parameter uncertainties into the theoretical site-response predictions using monte-carlo simulations. The input-parameter uncertainties were estimated directly from the results of several independent geotechnical studies performed at Turkey Flat. While the computed results generally agree with empirical site-response estimates (average spectral ratios of earthquake recordings), we found that the uncertainties lead to a high degree of variability in the theoretical predictions. Most of this variability comes from poor constraints on the shear-wave velocity and thickness of a thin (∼2m) surface layer, and on the attenuation of the sediments. Our results suggest that in site-response studies which rely exclusively on geotechnically based theoretical predictions, it will be important that the variability resulting from input-parameter uncertainties is recognized and accounted for.

scholarly journals Methods for nonparametric statistics in scientific research. Overview. Part 1.

2021 ◽  
Vol 6 (2) ◽  
pp. 151-162
Author(s):  
M. A. Nikitina ◽  
I. M. Chernukna
Keyword(s):  
Statistical Analysis ◽  
Nonparametric Tests ◽  
Model Parameters ◽  
Testing Hypotheses ◽  
Statistical Homogeneity ◽  
Before And After ◽  
Chi Squared ◽  
Statistical Hypotheses ◽  
Distribution Type ◽  
The Right

Daily, researcher faces the need to compare two or more observation groups obtained under different conditions in order to confirm or argue against a scientific hypothesis. At this stage, it is necessary to choose the right method for statistical analysis. If the statistical prerequisites are not met, it is advisable to choose nonparametric analysis. Statistical analysis consists of two stages: estimating model parameters and testing statistical hypotheses. After that, the interpretation of the mathematical processing results in the context of the research object is mandatory. The article provides an overview of two groups of nonparametric tests: 1) to identify differences in indicator distribution; 2) to assess shift reliability in the values of the studied indicator. The first group includes: 1) Rosenbaum Q-test, which is used to assess the differences by the level of any quantified indicator between two unrelated samplings; 2) Mann-Whitney U-test, which is required to test the statistical homogeneity hypothesis of two unrelated samplings, i. e. to assess the differences by the level of any quantified indicator between two samplings. The second group includes sign G-test and Wilcoxon T-test intended to determine the shift reliability of the related samplings, for example, when measuring the indicator in the same group of subjects before and after some exposure. Examples are given; step-by-step application of each test is described. The first part of the article describes simple nonparametric methods. The second part describes nonparametric tests for testing hypotheses of distribution type (Pearson’s chi-squared test, Kolmogorov test) and nonparametric tests for testing hypotheses of sampling homogeneity (Pearson’s chi-squared test for testing sampling homogeneity, Kolmogorov-Smirnov test).

scholarly journals A parallel electric field penetration technique for identifying hazardous water sources beneath coal seam mining face floors

2019 ◽  
Vol 16 (5) ◽  
pp. 950-961 ◽  
Author(s):  
Xiongwu Hu ◽  
Dangdang Meng ◽  
Bin Luo ◽  
Pingsong Zhang ◽  
Rongxin Wu
Keyword(s):  
Electric Field ◽  
Coal Seam ◽  
Physical Model ◽  
Water Sources ◽  
Model Parameters ◽  
Parallel Electric Field ◽  
Electric Field Penetration ◽  
Mining Face ◽  
Seam Mining ◽  
Field Penetration

Abstract In this work, a highly applicable multi-channel parallel electric field penetration technique is proposed to facilitate identification of hazardous water sources beneath coal seam mining face floors. The effects of various parameters on the characteristics of the apparent resistivity curves of a spherical model were analyzed through numerical simulation. It was determined that the proposed technique was sensitive to several model parameters (resistivity, size and spatial location). In addition, physical model experiments were also performed. Resistivity was determined from a three-dimensional inversion of the measurements. The results showed that the proposed technique was highly effective in determining the electrical characteristics and spatial distribution range of the anomalous bodies in the physical model. An engineering application of the proposed technique further demonstrated its effectiveness and reliability. The proposed technique can provide a basis for formulating water disaster prevention and control measures for mining faces.

scholarly journals A Mechanogenetic Model of Exercise-Induced Pulmonary Haemorrhage in the Thoroughbred Horse

Genes ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 880
Author(s):  
Blott ◽  
Cunningham ◽  
Malkowski ◽  
Brown ◽  
Rauch
Keyword(s):  
Cell Adhesion ◽  
Physical Model ◽  
Cell Biology ◽  
Pulmonary Haemorrhage ◽  
Cell Stiffness ◽  
Critical Parameters ◽  
Primary Study ◽  
Model Parameters ◽  
Exercise Induced ◽  
Cell Cell

Exercise-induced pulmonary haemorrhage (EIPH) occurs in horses performing high-intensity athletic activity. The application of physics principles to derive a ‘physical model’, which is coherent with existing physiology and cell biology data, shows that critical parameters for capillary rupture are cell–cell adhesion and cell stiffness (cytoskeleton organisation). Specifically, length of fracture in the capillary is a ratio between the energy involved in cell–cell adhesion and the stiffness of cells suggesting that if the adhesion diminishes and/or that the stiffness of cells increases EIPH is more likely to occur. To identify genes associated with relevant cellular or physiological phenotypes, the physical model was used in a post-genome-wide association study (GWAS) to define gene sets associated with the model parameters. The primary study was a GWAS of EIPH where the phenotype was based on weekly tracheal wash samples collected over a two-year period from 72 horses in a flat race training yard. The EIPH phenotype was determined from cytological analysis of the tracheal wash samples, by scoring for the presence of red blood cells and haemosiderophages. Genotyping was performed using the Illumina Equine SNP50 BeadChip and analysed using linear regression in PLINK. Genes within significant genome regions were selected for sets based on their GeneOntology biological process, and analysed using fastBAT. The gene set analysis showed that genes associated with cell stiffness (cytoskeleton organisation) and blood flow have the most significant impact on EIPH risk.

A Hybrid Physical-Dynamic Tire/Road Friction Model

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
Jingliang Li ◽  
Yizhai Zhang ◽  
Jingang Yi
Keyword(s):  
Physical Model ◽  
Normal Load ◽  
Friction Model ◽  
Model Parameters ◽  
Dynamic Friction ◽  
Contact Patch ◽  
Road Friction ◽  
Friction Models ◽  
Vehicle Maneuver ◽  
And Control

We present a hybrid physical-dynamic tire/road friction model for applications of vehicle motion simulation and control. We extend the LuGre dynamic friction model by considering the physical model-based adhesion/sliding partition of the tire/road contact patch. Comparison and model parameters relationship are presented between the physical and the LuGre dynamic friction models. We show that the LuGre dynamic friction model predicts the nonlinear and normal load-dependent rubber deformation and stress distributions on the contact patch. We also present the physical interpretation of the LuGre model parameters and their relationship with the physical model parameters. The analysis of the new hybrid model's properties resolves unrealistic nonzero bristle deformation and stress at the trailing edge of the contact patch that is predicted by the existing LuGre tire/road friction models. We further demonstrate the use of the hybrid model to simulate and study an aggressive pendulum-turn vehicle maneuver. The CARSIM simulation results by using the new hybrid friction model show high agreements with experiments that are performed by a professional racing car driver.

Examination of the relative influence of current gathering on fixed loop and moving source electromagnetic surveys

Geophysics ◽  
2001 ◽  
Vol 66 (4) ◽  
pp. 1059-1066 ◽  
Author(s):  
K. Duckworth ◽  
T. D. Nichols ◽  
E. S. Krebes
Keyword(s):  
Frequency Domain ◽  
Physical Model ◽  
Abrupt Onset ◽  
Loop System ◽  
Model Parameters ◽  
Host Environment ◽  
Moving Source ◽  
Model Study ◽  
Order Of Magnitude ◽  
Target Depth

A physical model study was conducted of the responses provided by moving‐source and fixed‐loop frequency‐domain electromagnetic prospecting systems when operated over the same target conductor located in a conductive host environment. The results indicate that the fixed‐loop responses display enhancement due to the current gathering effect that exceeds that seen in the moving‐source responses by at least an order of magnitude for all the source‐to‐receiver separations tested for the moving‐source system. The results also indicate that as transmitter frequency is increased the current gathering effect displays an abrupt onset in the responses provided by both systems, but that this onset begins at a frequency which is a decade lower for the fixed‐loop system than the corresponding frequency of onset for the moving‐source system. The current gathering enhancement effects show a clear reduction with increase of target depth for the fixed‐loop system but an increase with depth for the moving‐source system. The model parameters employed in these studies are shown to be well related to typical conditions found in full‐scale surveys.

Sign in / Sign up

Export Citation Format

Share Document