Labeled Weibull Plot of a C-Derived Si3N4-SiC Nanocomposite

2005 ◽  
pp. 292-295
Author(s):  
Monika Kašiarová ◽  
Ján Dusza ◽  
Miroslav Hnatko ◽  
Pavol Šajgalík
Keyword(s):  
Weibull Plot

scholarly journals A Note on the Existence of the Location Parameter Estimate of the Three-Parameter Weibull Model Using the Weibull Plot

2018 ◽  
Vol 2018 ◽  
pp. 1-6
Author(s):  
Chanseok Park
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Location Parameter ◽  
Weibull Model ◽  
Parameter Estimate ◽  
Reliability Engineering ◽  
Bounded Interval ◽  
Weibull Plot ◽  
Sample Correlation

The Weibull model is one of the widely used distributions in reliability engineering. For the parameter estimation of the Weibull model, there are several existing methods. The method of the maximum likelihood estimation among others is preferred because of its attractive statistical properties. However, for the case of the three-parameter Weibull model, the method of the maximum likelihood estimation has several drawbacks. To avoid the drawbacks, the method using the sample correlation from the Weibull plot is recently suggested. In this paper, we provide the justification for using this new method by showing that the location estimate of the three-parameter Weibull model exists in a bounded interval.

Gas Turbine Safety Improvement Through Risk Analysis

1988 ◽  
Vol 110 (2) ◽  
pp. 265-270 ◽  
Author(s):  
T. M. Crosby ◽  
G. L. Reinman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Risk Analysis ◽  
Weibull Distribution ◽  
Gas Turbine ◽  
System Model ◽  
Weibull Analysis ◽  
System Safety ◽  
Weibull Plot ◽  
Safety Improvement

This paper is intended to provide the engineer with the information necessary to understand certain statistical methods that are used to improve system safety. It will provide an understanding of Weibull analysis, in that it describes when the Weibull distribution is appropriate, how to construct a Weibull plot, and how to use the parameters of the Weibull distribution to calculate risk. The paper will also provide the engineer with a comprehension of Monte Carlo simulation as it relates to quantifying safety risk. The basic components of Monte Carlo simulation are discussed as well as the formulation of a system model and its application in the gas turbine industry.

Flanged-Mounted Ball-Bearing Fatigue Tests

1967 ◽  
Vol 89 (4) ◽  
pp. 919-931 ◽  
Author(s):  
C. C. Moore ◽  
P. A. Perkins ◽  
D. A. Smeaton
Keyword(s):  
Axial Load ◽  
Ball Bearing ◽  
Contact Fatigue ◽  
Fatigue Tests ◽  
Test Results ◽  
Ring Fracture ◽  
Weibull Plot ◽  
Fatigue Data ◽  
Bending Stresses

The test results of a 8.26-in-dia ball bearing under 51,000-lb axial load at 3710 rpm are discussed. A Weibull plot of the contact fatigue data showed about 6.95 times A FBMA life, a result to be expected with vacuum-melted M50 material and MIL-L-7808 lubricant. Due to high bending stresses, the fatigue spalls initiated ring fracture. Calculation and measurement of these stresses are discussed.

The Reliability Life Test and Analysis of Wiper Motor for Automobiles

2006 ◽  
Vol 326-328 ◽  
pp. 605-608
Author(s):  
Wae Gyeong Shin ◽  
Soo Hong Lee ◽  
Young Sik Song
Keyword(s):  
Automotive Industry ◽  
Test Procedure ◽  
Experimental Result ◽  
Visual Comfort ◽  
Life Test ◽  
Test Items ◽  
Weibull Plot ◽  
Efficient Test ◽  
Automotive Parts ◽  
Bearing Damage

Reliability of automotive parts has been one of the most interesting fields in the automotive industry. Especially wiper motor for automobiles is important part because of improving visual comfort for the driver and the passengers. Therefore, we have dealt with the reliability test procedure of wiper motor. The failures such as wear-out of brush, bearing damage, motor coil burnout are caused by the electrical and mechanical operating for low and high actions of wiper motor. In this research, we have qualitatively selected the efficient test items through the analysis of the life and potential failures of wiper motor. So, wiper motor itself requires an estimation of life causing failure of brush wear out in order to operate the system safely. We have tested six wiper motors. The result is established by employing the weibull plot. We validated the life of wiper motor to the experimental result.

The Influence of Surface Pit Shape on 4H-SiC MOSFETs Reliability under High Temperature Bias Tests

2016 ◽  
Vol 858 ◽  
pp. 840-843 ◽  
Author(s):  
Kosuke Uchida ◽  
Toru Hiyoshi ◽  
Taro Nishiguchi ◽  
Hirofumi Yamamoto ◽  
Shinji Matsukawa ◽  
...  
Keyword(s):  
High Temperature ◽  
Electric Field ◽  
Epitaxial Layer ◽  
Threading Dislocations ◽  
Oxide Breakdown ◽  
Temperature Bias ◽  
Mixed Dislocation ◽  
Weibull Plot ◽  
Deep Pit ◽  
Drain Bias

The influence of surface pit shape on 4H-SiC double implanted MOSFETs (DMOSFETs) reliability under a high temperature drain bias test has been investigated. Threading dislocations formed two types of pit shapes (deep pit and shallow pit) on an epitaxial layer surface. The cause of the failure was revealed to be an oxide breakdown above the pit generated at the threading mixed dislocation in both pit shapes. Weibull distributions between two types of pits were different. Although the DMOSFETs on the epitaxial layer with the deep pit show longer lifetime than those with the shallow pit, the epitaxial layer with the shallow pit is suitable to estimate the lifetime of the DMOSFETs because of a linearity of the Weibull plot. The lifetime of the DMOSFETs with the shallow pit was dominated by an oxide electric field. The maximum oxide electric field required to obtain the lifetime of more than 10 years was estimated to be 2.7 MV/cm.

scholarly journals Analysis of Multi-component IVH Solution Containing Famotidine and Vitamins. Applications of "Weibull-plot" Method.

1998 ◽  
Vol 24 (4) ◽  
pp. 370-382
Author(s):  
YOSHIHARU ARAI ◽  
AKIE KUBOTA ◽  
TOMOKO NAKANE ◽  
GINKO KONOMI ◽  
NORIKO MIZUSHIMA ◽  
...  
Keyword(s):  
Weibull Plot

Formation and Effect of Moisture Contents to Kraft Paper’s Life of In-Service Power Distribution Transformer

2015 ◽  
Vol 793 ◽  
pp. 114-118
Author(s):  
Imran Sutan Chairul ◽  
Yasmin Hanum Md Thayoob ◽  
Young Zaidey Yang Ghazali ◽  
Mohd Shahril Ahmad Khiar ◽  
Sharin Ab Ghani
Keyword(s):  
Power Distribution ◽  
Power Transformer ◽  
Voltage Level ◽  
Moisture Contents ◽  
Weibull Plot ◽  
Distribution Transformers ◽  
Insulation Degradation ◽  
Effect Of Moisture ◽  
Paper Insulation ◽  
Transformer Insulation

Examples of solid and liquid electrical insulations for power transformer are mineral oil and cellulose based paper. As transformers performed their function to step-up or step-down voltage level, its’ insulations will be degraded. Paper insulation is considered the most critical component in a transformer insulation system because it is not easily replaced if compared to oil where it is easily reconditioned in-order to remove water and contaminants. Studies show that temperature, moisture contents and oxygen contributed to paper insulation degradation. Moisture and furanic compound were produced from these deterioration processes. This paper is focused on the formation and effect of moisture to Kraft paper’s life. Levels of moisture contents were obtained from in-service power distribution transformers. These data then is used to assess the Kraft paper’s life by means of Weibull plot. This study shows that level of moisture contents can be used to assess the life of Kraft paper insulation.

Labeled Weibull Plot of a C-Derived Si3N4-SiC Nanocomposite

2005 ◽  
Vol 290 ◽  
pp. 292-295
Author(s):  
Monika Kašiarová ◽  
Ján Dusza ◽  
Miroslav Hnatko ◽  
Pavol Šajgalík
Keyword(s):  
Weibull Distribution ◽  
Bending Strength ◽  
Four Point Bending ◽  
Weibull Plot ◽  
Technological Defects

Four-point bending strength and Weibull distribution of the strength values of a carbon derived Si3N4-SiC nanocomposite have been investigated. The fracture origins were identified and characterized and a “labeled Weibull plot” was constructed. The fracture origins are surface, subsurface and volume located technological defects with a dimension from 10 µm to 180 µm, mainly in the form of cluster of pores and large SiC grains.

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