Objective Comparison of Confidence Bound Methods for Binomial Series System Reliability

2020 ◽  
Vol 69 (2) ◽  
pp. 533-544
Author(s):  
Edward Schuberg ◽  
Janet Myhre ◽  
Daniel R. Jeske ◽  
Allan D. McQuarrie ◽  
Joseph D. Warfield
Keyword(s):  
System Reliability ◽  
Series System ◽  
Confidence Bound ◽  
Binomial Series

Estimation of series system reliability for exponentially distributed component life times

1988 ◽  
Vol 28 (6) ◽  
pp. 909-917 ◽  
Author(s):  
Dipak K. Dey ◽  
Anita Singh ◽  
Ashok Singh
Keyword(s):  
System Reliability ◽  
Series System

scholarly journals Study on the Stability of the Coal Seam Floor above a Confined Aquifer Using the Structural System Reliability Method

Geofluids ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Haifeng Lu ◽  
Xiuyu Liang ◽  
Nan Shan ◽  
You-Kuan Zhang
Keyword(s):  
Coal Seam ◽  
System Reliability ◽  
Failure Modes ◽  
Water Inrush ◽  
Series System ◽  
Mechanical Parameters ◽  
Structural System ◽  
Key Strata ◽  
Structural System Reliability ◽  
The Stability

A quantitative method of structural system reliability was proposed to study the influence of random rock mechanical parameters and loads on the stability of the coal seam floor above confined aquifers. To obtain the reliability probability of the floor, two modes of water-resistant floor failure were suggested as follows: (1) mining completely removed the water-resistant key strata of the floor. In this case, the failure modes were of three main types: mining failure, confined water intrusion, and combined mining failure and intrusion. (2) Failure modes included shear and tensile failures when the thickness of the key strata was greater than 0. On the basis of the elastic thin plate theory, the performance function that calculates the reliability probability of all modes could be obtained. The failure modes were regarded as the series system. The Monte Carlo method was employed to calculate the reliability probability of each failure mode and series system. The results showed that the random rock mechanical parameters and loads of the key strata significantly influence the antiwater inrush capacity of the floor. In addition, the water inrush coefficient and reliability probability can be simultaneously used as the evaluation indexes of water inrush risk. Both these indexes could improve the assessment of the reliability of the floor.

Reliability Model for Complex Mechanical Component Design

2013 ◽  
Vol 365-366 ◽  
pp. 28-31
Author(s):  
Li Yang Xie ◽  
Wen Xue Qian ◽  
Ning Xiang Wu
Keyword(s):  
System Reliability ◽  
Failure Modes ◽  
Statistical Dependence ◽  
Series System ◽  
Reliability Model ◽  
Component Reliability ◽  
Damage Site ◽  
Mechanical Component ◽  
Component Design ◽  
Element Failure

Taking into account the uncertainty in material property and component quality, a complex mechanical component such as a gear should be treated as a series system instead of a component when evaluating its reliability, since there exist many sites of equal likelihood to fail. Besides, conventional system reliability model is not applicable to such a system because of the statistical dependence among the failures of the every element (damage site). The present paper presents a model to estimate complex mechanical component reliability by incorporating order statistic of element strength into load-strength interference analysis, which can deal with multiple failure mechanisms, reflect statistical dependence among element failure events and that among different failure modes.

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