Liquid propulsion system reliability - 'Design for reliability'

1989 ◽  
Author(s):  
K. O'HARA
Keyword(s):  
System Reliability ◽  
Propulsion System ◽  
Reliability Design ◽  
Design For Reliability

Network System Reliability and Unit Probability Importance Based on Monte Carlo Method

2014 ◽  
Vol 1049-1050 ◽  
pp. 1458-1462
Author(s):  
Rao Bin
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Network Reliability ◽  
Approximate Algorithm ◽  
Network System ◽  
Reliability Design ◽  
Precise Calculation ◽  
Improve Calculation ◽  
Factor Decomposition ◽  
State Enumeration

The network system reliability research contains a number of problems, such as: Reliability analysis and reliability design, reliability, maintenance and a lot of problems so on. The calculation of reliability of the network is the important area of network reliability analysis, State enumeration method and principle of a class, don't pay the product and method, the factor decomposition method is a classic accurate algorithm of computing network reliability. Due to the difficulty of precise calculation, in the method, appeared and bound method, Monte carol method, the reliability of the approximate algorithm. Compared with the accurate algorithm, approximate algorithm is still under development. So far, no recognized classic algorithms, so the method to improve calculation accuracy, reduce the complexity of the target of the researchers.

Design for Component Reliability: A New Challenge for the Control Systems Analyst?

1974 ◽  
Vol 96 (1) ◽  
pp. 41-48
Author(s):  
J. W. Brewer ◽  
L. M. Gordon
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Fast Response ◽  
Design Criteria ◽  
Modal Control ◽  
Probabilistic Design ◽  
Component Reliability ◽  
Reliability Design ◽  
Design For Reliability ◽  
Systems Analyst

The authors demonstrate that if feedback control and component reliability design criteria are considered simultaneously, significant gains in reliability may result. The discussion begins with a tutorial introduction to probabilistic design for reliability. Simple examples are employed to illustrate the analytical tie between feedback control and component reliability. In the case of modal control, it is demonstrated that fast response and component reliability are competing criteria. The question of system (as opposed to component) reliability is discussed in a succeeding paper.

A New Approach for the Study of Reliability for MEMS Magnetic Actuator

2007 ◽  
Author(s):  
E. Berkcan ◽  
S. Chandrasekaran
Keyword(s):  
Magnetic Actuator ◽  
Test Procedures ◽  
Device Structure ◽  
Reliability Design ◽  
Design For Reliability ◽  
Testing Procedures ◽  
Time Period ◽  
Device Reliability ◽  
Mems Device

This paper presents a summary of the design for reliability and the reliability test procedures used for the design, fabrication and testing of a MEMS magnetic actuator. The MEMS device reliability is determined incorporating device structure, its fabrication process, the packaging, & their interacting contributions. The goal of the MEMS actuator reliability design task is to increase the probability of failure free operation of a MEMS based system for a specified time period and the use environment. The design for reliability and the subsequent reliability testing procedures are used to determine the reliability of the MEMS actuator and enable the determination of the reliability of the final product that the MEMS device is becoming part of.

A New Concept for Assessing System Reliability Based on Probability Decomposition Method

2007 ◽  
Vol 353-358 ◽  
pp. 2525-2528
Author(s):  
Yang Pei ◽  
Bi Feng Song ◽  
Qing Han
Keyword(s):  
Failure Probability ◽  
System Reliability ◽  
Decomposition Method ◽  
Fault Tree Analysis ◽  
System Failure ◽  
Reliability Design ◽  
Critical States ◽  
Component Importance ◽  
Probability Concept ◽  
Probability Decomposition

In fault tree analysis, the system failure probability and the component importance measures cannot totally include the contribution of all the component existing states to system reliability. It is for this reason that an ‘equivalent’ failure probability concept is proposed. First, the system existing states are analyzed by probability decomposition method. Then Markov chain method and the expectation theory are used to calculate the expected working number resulting in system failure. And the system equivalent failure probability is finally attained. Analysis shows that: (1) equivalent failure probability not only includes the contribution of critical states of component to system reliability, but also the non-critical states of component are considered; and (2) it may provide a thorough assessment of system reliability and is useful for reliability design.

Practical solutions for multi-objective optimization: An application to system reliability design problems

2007 ◽  
Vol 92 (3) ◽  
pp. 314-322 ◽  
Author(s):  
Heidi A. Taboada ◽  
Fatema Baheranwala ◽  
David W. Coit ◽  
Naruemon Wattanapongsakorn
Keyword(s):  
System Reliability ◽  
Multi Objective Optimization ◽  
Design Problems ◽  
Reliability Design ◽  
Multi Objective

Control Parameters and Quantification for System Reliability Design

2009 ◽  
Vol 628-629 ◽  
pp. 215-220
Author(s):  
Li Yang Xie ◽  
Wen Qiang Lin
Keyword(s):  
System Reliability ◽  
Uncertainty Component ◽  
System Complexity ◽  
Component Reliability ◽  
Reliability Design ◽  
Component Strength ◽  
Configuration System ◽  
Failure Dependence ◽  
Component Failures ◽  
The Relationship

The reliability of a mechanical system is not simply determined by the reliabilities of components composing the system. For a specified system configuration, system reliability depends on not only component reliability, but also the degree of the dependence among component failures, which can be characterized by load roughness in an extent. In the same way, system complexity depends on not only the number of components that the system contains but also the dependence among component failures. This paper analyzes the main factors that affect the relationship between system reliability and component reliabilities in term of component failure dependence. The factors include load uncertainty, component strength uncertainty, and load roughness as well. Traditional parameter describing system complexity is modified, new parameter to describe component complexity is defined. These parameters play important rule for system reliability design or system reliability allocation.

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