EM‐based likelihood inference for one‐shot device test data under log‐normal lifetimes and the optimal design of a CSALT plan

2021 ◽  
Author(s):  
Narayanaswamy Balakrishnan ◽  
Elena Castilla
Keyword(s):  
Optimal Design ◽  
Test Data ◽  
Likelihood Inference ◽  
Log Normal ◽  
Device Test

Study on the Life Distribution and Reliability of Roller Based Linear Bearing

2007 ◽  
Author(s):  
Shigeo Shimizu ◽  
Hirokazu Shimoda ◽  
Katsuji Tosha
Keyword(s):  
Fatigue Life ◽  
Test Data ◽  
Dynamic Load ◽  
Distribution Functions ◽  
Load Rating ◽  
Life Test ◽  
Life Distribution ◽  
Dynamic Load Rating ◽  
Log Normal ◽  
Log Normal Distribution

A study on the life distribution and reliability for roller guides with cage is carried out with a total number of 90 test samples in two lots (Ns = 38 and 52), and fatigue life distribution functions, such as two and three parameters Weibull distribution, and log-normal distribution are used for analyzing the test data. The basic dynamic load rating formula standardized by ISO in 2004 is also compared with the life test data in relation to the effect of crowning on both ends of the carriage raceway. Weibull slope, compatibility of distribution functions and λbm factor are also examined.

Modeling and Analyzing for Multi-Axis Wheeled Vehicle Handling Performance and Stability

2013 ◽  
Vol 432 ◽  
pp. 179-184
Author(s):  
Jun Li ◽  
Shi Hua Yuan ◽  
Shu Peng Lyu ◽  
Dong Mei Jyu
Keyword(s):  
Differential Equation ◽  
Optimal Design ◽  
Test Data ◽  
Lagrange Equation ◽  
Math Model ◽  
Vehicle Handling ◽  
Handling Performance ◽  
Wheeled Vehicle ◽  
Design Plan ◽  
High Credibility

In this paper, by using the method of Lagrange equation mechanics, a 3DOF common dynamic differential equation for four-axis wheeled vehicle is calculated. whats more, a basic handling math model of four-axis wheeled vehicle is obtained. The handling performance and stability simulation for two plans of one type of vehicle is finished by using the model completed, and the suggestion for optimal design plan is given. According to the test data of sample vehicle that has been validated, the model has a high credibility.

Resistance Factors for Drilled Shafts in Weak Rock Based on O-Cell Test Data

2008 ◽  
Vol 2045 (1) ◽  
pp. 62-67 ◽  
Author(s):  
Xiaoming Yang ◽  
Jie Han ◽  
Robert L. Parsons ◽  
Robert W. Henthorne
Keyword(s):  
Test Data ◽  
Drilled Shafts ◽  
Rock Properties ◽  
Weak Rock ◽  
Foundation Design ◽  
Resistance Factors ◽  
Side Resistance ◽  
Measured Resistance ◽  
Log Normal ◽  
Load And Resistance Factor

Load and resistance factor design (LRFD) has been mandatory for all FHWA-funded bridges since October 2007. The resistance factors included in the current AASHTO specifications for foundation design are not all calibrated by using field data. A calibration of resistance factors for side resistance of drilled shafts in weak rock is based on the statistical data collected from 19 O-cell tests in the midwestern United States. The field test data were used to determine the measured resistance, and the in situ rock properties and the dimensions of drilled shafts were used to calculate the predicted resistance by using the FHWA method. The Monte Carlo method was selected to perform the calibration. On the basis of the normally distributed loads and log normal distributed resistance from the test data, side resistance factors were determined at a target reliability index of 3.0. The calibrated resistance factors were compared with those in the current AASHTO LRFD Bridge Design Specifications.

Likelihood Inference for Life Test Data

1979 ◽  
Vol R-28 (1) ◽  
pp. 38-43
Author(s):  
Benjamin Reiser ◽  
Shaul Bar Lev
Keyword(s):  
Test Data ◽  
Likelihood Inference ◽  
Life Test

Statistical Analyses of In-Air and In-Water Fatigue Test Data of Austenitic Stainless Steels and Ferritic Steels

2003 ◽  
Author(s):  
Yukio Takahashi ◽  
Takao Nakamura
Keyword(s):  
Normal Distribution ◽  
Fatigue Test ◽  
Test Data ◽  
Statistical Analyses ◽  
Ferritic Steels ◽  
Normal Distribution Function ◽  
Low Alloy Steels ◽  
Log Normal ◽  
Design Factors ◽  
Log Normal Distribution

Scatter of material properties is always an important factor in the assessment of integrity of structures of any kind. In nuclear power plants, fatigue is one of the major mechanisms which potentially leads to a failure of components. To evaluate scatter of fatigue strength in air and high-temperature water environment for austenitic stainless and ferritic steels (carbon steel and low-alloy steels), statistical analyses were carried out for data packages generated from fatigue test data obtained mainly in Japan. Best-fit equations for in-air data were derived using these data and they were used together with equations developed in Japan for environmental effect to obtain mean property of the materials. Distributions of the ratio of each test data to the mean property, in terms of the number of cycles to failure as well as strain amplitude, were statistically analyzed. In most cases, data scatter obeyed log-normal distribution quite well. Based on the regressions by log-normal distribution function, relations between design factors on them and failure probability were obtained for each material group and environment. It was found that the amounts of scatter of the in-water data were similar to that of the corresponding in-air data. Finally, design factors required to cope with material property variation are discussed.

Probabilistic analysis of predicted and measured settlements

1977 ◽  
Vol 14 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Raymond J. Krizek ◽  
Ross B. Corotis ◽  
Houssam H. El-Moursi
Keyword(s):  
Test Data ◽  
Probabilistic Models ◽  
Probabilistic Approach ◽  
Clay Layer ◽  
Time Rate ◽  
Normal Distributions ◽  
Total Settlement ◽  
Soil Compressibility ◽  
Log Normal ◽  
Penetration Tests

The methods of probability theory are used to develop probabilistic models for predicting the total settlement (based on either consolidation test data or the results of standard penetration tests) and the time rate of settlement for a compressible clay layer in terms of uncertain values for soil compressibility and loads. The total settlement and the time rate of settlement are well approximated by log-normal distributions. Results calculated by use of the probabilistic approach are compared with settlement values measured in a well documented case history with good supporting laboratory test data.

Model Mis-Specification Analyses of Weibull and Gamma Models Based on One-Shot Device Test Data

2017 ◽  
Vol 66 (3) ◽  
pp. 641-650 ◽  
Author(s):  
Man Ho Ling ◽  
Narayanaswamy Balakrishnan
Keyword(s):  
Test Data ◽  
Device Test
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