Component reliability allocation and demonstration test planning based on system reliability confidence limit

2015 ◽  
pp. 1805-1811 ◽  
Author(s):  
P Zeiler ◽  
B Bertsche
Keyword(s):  
System Reliability ◽  
Confidence Limit ◽  
Component Reliability ◽  
Reliability Allocation ◽  
Test Planning

Optimization and estimation in system reliability allocation problem

2021 ◽  
Vol 212 ◽  
pp. 107620
Author(s):  
Umar Muhammad Modibbo ◽  
Mohd. Arshad ◽  
Omer Abdalghani ◽  
Irfan Ali
Keyword(s):  
System Reliability ◽  
Allocation Problem ◽  
Reliability Allocation

A Prioritized Decision Making Method for Reliability Allocation: in Optimistic and Pessimistic View

2021 ◽  
pp. 1-13
Author(s):  
Aniruddha Samanta ◽  
Kajla Basu
Keyword(s):  
Decision Making ◽  
System Reliability ◽  
Decision Makers ◽  
Measurement Scale ◽  
Airborne Radar ◽  
View Point ◽  
Reliability Allocation ◽  
Priority Level ◽  
Development Phases

Reliability allocation is a very important problem during early design and development phases of a system. There are several reliability allocation techniques which are used to achieve the target reliability. The feasibility of objectives (FOO) technique is one of them that is widely used to perform system reliability allocation. But this technique has two fundamental shortcomings. The first is the measurement scale and the second is that it does not consider the order weight of the reliability allocation factors. The prioritization of the factors is also an important topic in decision making. Practically, all factors in multi-criteria decision making (MCDM) are not in the same priority level. Hence, in decision making situation, it is usual for decision makers to consider different priority factors. So, considering the prioritization of the factors, a reliability allocation method is proposed here to overcome the shortcomings of the FOO technique. Also, a case study on reliability allocation in airborne radar system is considered here to verify the efficiency of the proposed approach. Finally, the results are calculated in different optimistic and pessimistic view point and compared with the FOO technique. This comparison exhibits the advantages and supremacy of the proposed approach.

System Reliability Allocation and Optimization Based on Generalized Birnbaum Importance Measure

2019 ◽  
Vol 68 (3) ◽  
pp. 831-843 ◽  
Author(s):  
Shubin Si ◽  
Mingli Liu ◽  
Zhongyu Jiang ◽  
Tongdan Jin ◽  
Zhiqiang Cai
Keyword(s):  
System Reliability ◽  
Importance Measure ◽  
Reliability Allocation

A Partial Safety Factor Method for System Reliability Prediction With Outsourced Components

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Zhengwei Hu ◽  
Xiaoping Du
Keyword(s):  
System Reliability ◽  
Joint Probability ◽  
System Level ◽  
Safety Factors ◽  
Component Reliability ◽  
Reliability Method ◽  
Component Supplier ◽  
Partial Safety Factors ◽  
Joint Probability Density ◽  
Probability Density Function Pdf

System reliability is usually predicted with the assumption that all component states are independent. This assumption may not accurate for systems with outsourced components since their states are strongly dependent and component details may be unknown. The purpose of this study is to develop an accurate system reliability method that can produce complete joint probability density function (PDF) of all the component states, thereby leading to accurate system reliability predictions. The proposed method works for systems whose failures are caused by excessive loading. In addition to the component reliability, system designers also ask for partial safety factors for shared loadings from component suppliers. The information is then sufficient for building a system-level joint PDF. Algorithms are designed for a component supplier to generate partial safety factors. The method enables accurate system reliability predictions without requiring proprietary information from component suppliers.

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.

Exact confidence limit for complex system reliability based on component test data

2018 ◽  
Vol 17 (1) ◽  
pp. 75-88
Author(s):  
Senyao Du ◽  
Zhaohui Li ◽  
Dan Yu ◽  
Dongmin Li ◽  
Qingpei Hu
Keyword(s):  
Complex System ◽  
Test Data ◽  
System Reliability ◽  
Confidence Limit ◽  
Component Test
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