Component Reliability Analysis

2016 ◽  
pp. 75-172
Author(s):  
Mohammad Modarres ◽  
Mark P. Kaminskiy ◽  
Vasiliy Krivtsov
Keyword(s):  
Reliability Analysis ◽  
Component Reliability

scholarly journals Temperature Verification of Hybrid Microelectronic Circuit Design

1983 ◽  
Vol 10 (2-3) ◽  
pp. 63-66 ◽  
Author(s):  
Sedat Širbegovic ◽  
Milan Mazalica ◽  
Ratko Krcmar
Keyword(s):  
Temperature Measurement ◽  
Reliability Analysis ◽  
Circuit Design ◽  
Hot Spots ◽  
Critical Component ◽  
Critical Temperatures ◽  
Component Reliability ◽  
Measurement Results ◽  
Infrared Microscope ◽  
Banja Luka

The paper includes temperature measurement results on hybrid microelectronic circuit surfaces carried out by infrared microscope with special attention to critical temperatures (hot spots) which may require hybrid microelectronic circuit redesign. Critical component reliability analysis, as well as the need for replacement with more reliable components is considered. The principle for hybrid microelectronic design verification suggested.The paper is the result of longterm efforts at the Rudi Čajavec Factory in Banja Luka, where we have been investigating the possibilities for very reliable hybrid microelectronic circuit design.

scholarly journals Reliability Analysis of Resultant Stress for Unsymmetrical Columns for Stress Follow Exponential Distribution

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1334-1337
Keyword(s):  
Tensile Stress ◽  
Reliability Analysis ◽  
Compressive Stress ◽  
Probabilistic Approach ◽  
Bending Stress ◽  
Maximum Compressive Stress ◽  
Eccentric Load ◽  
Component Reliability ◽  
Parameter Values ◽  
Resultant Stress

When a body is subjected to eccentric loads, the direct stress as well as bending stress is produced. Resultant stress is obtained by adding these two stresses. In this paper, probabilistic approach has been made for designing the structure of unsymmetrical column by finding suitable parameters length of outer square and length of a hole and eccentric load of the column to get the specified reliability of the structure of a body or component. Reliability analysis has been done at the point of maximum compressive stress occurred and at the point of minimum tensile stress occurred. Reliability computations have been obtained for changing the various parameter values. It is observed from the computations that Reliability of the component when compressive stress occurs at the edge AB increases with increasing of length of outer square, decrease of load, decrease of length of hole and increasing of eccentricity. Reliability of the component when tensile stress occurs at the edge CD increases with decrease of length of outer square increasing the length of a hole, decreases the load and decrease of eccentricity

scholarly journals RELIABILITY OF EC 155 B1 AIRCRAFT COMPONENTS USING UPPER CONTROL LIMIT (ALERT LEVEL) FORMULATION

Vortex ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 49
Author(s):  
Ramadhan Adil Labib
Keyword(s):  
Reliability Analysis ◽  
Control Program ◽  
Air Transport ◽  
Main Rotor ◽  
Analysis Method ◽  
Critical System ◽  
Component Reliability ◽  
Reliability Control ◽  
Aircraft System ◽  
Control Limits

To provide a reliability and service from PT. Indonesia Air Transport & Infrastructure, operators have to make sure the condition of all the systems and the components of EC 155 B1 is serviceable. However, there is still a bunch of unusual repetitive defect that recorded and mostly it came from the most critical system that can occur an incident at any time. In this study discussed on EC 155 B1’s component Reliability Analysis Method Using Reliability Control Program (RCP), Reliability Control Program is the reliability of aircraft system by determining which component that has to be concern by define the Upper Control Limits (Alert Value). From the calculation of RCP, ATA Chapter 62 Main Rotor is the most defected.

Reliability Analysis for the Navstar Based on State Probability of the Constellation

2014 ◽  
Vol 556-562 ◽  
pp. 3523-3526
Author(s):  
Hong Tao Hou ◽  
Fei Xie ◽  
Qun Li ◽  
Qiang Chang ◽  
Wang Xun Zhang
Keyword(s):  
Reliability Analysis ◽  
Markov Processes ◽  
Navigation System ◽  
The State ◽  
State Probability ◽  
Component Reliability ◽  
Mapping Model ◽  
Model Based

The definition for the constellation availability of the navigation system is given firstly, and then calculates the availability of a single satellite by using Markov processes, and establishes the model based on the state probability of the constellation, to achieve mapping model from component reliability of the single satellite to the constellation availability. Finally, we analysis the regional availability performance of the GNSS by the algorithm, which can fit and satisfy the requirements of contradiction between accuracy and rapidity for analysis of availability for constellation of GNSS.

Time-Dependent System Reliability Analysis With Second-Order Reliability Method

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Hao Wu ◽  
Zhangli Hu ◽  
Xiaoping Du
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Limit State ◽  
Second Order ◽  
Time Dependent ◽  
Component Reliability ◽  
Reliability Method ◽  
Series Systems ◽  
State Functions ◽  
Time Dependent System

Abstract System reliability is quantified by the probability that a system performs its intended function in a period of time without failures. System reliability can be predicted if all the limit-state functions of the components of the system are available, and such a prediction is usually time consuming. This work develops a time-dependent system reliability method that is extended from the component time-dependent reliability method using the envelope method and second-order reliability method. The proposed method is efficient and is intended for series systems with limit-state functions whose input variables include random variables and time. The component reliability is estimated by the second-order component reliability method with an improve envelope approach, which produces a component reliability index. The covariance between component responses is estimated with the first-order approximations, which are available from the second-order approximations of the component reliability analysis. Then, the joint distribution of all the component responses is approximated by a multivariate normal distribution with its mean vector being component reliability indexes and covariance being those between component responses. The proposed method is demonstrated and evaluated by three examples.

Time-Dependent System Reliability Analysis With Second Order Reliability Method

2020 ◽  
Author(s):  
Hao Wu ◽  
Xiaoping Du
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Limit State ◽  
Second Order ◽  
Time Dependent ◽  
Component Reliability ◽  
Reliability Method ◽  
Series Systems ◽  
State Functions ◽  
Time Dependent System

Abstract System reliability is quantified by the probability that a system performs its intended function in a period of time without failure. System reliability can be predicted if all the limit-state functions of the components of the system are available, and such a prediction is usually time consuming. This work develops a time-dependent system reliability method that is extended from the component time-dependent reliability method that uses the envelop method and second order reliability method. The proposed method is efficient and is intended for series systems with limit-state functions whose input variables include random variables and time. The component reliability is estimated by the existing second order component reliability method, which produces component reliability indexes. The covariance between components responses are estimated with the first order approximations, which are available from the second order approximations of the component reliability analysis. Then the joint probability of all the component responses is approximated by a multivariate normal distribution with its mean vector being component reliability indexes and covariance being those between component responses. The proposed method is demonstrated and evaluated by three examples.

scholarly journals The structural reliability analysis using explicit neural state functions

2019 ◽  
Vol 262 ◽  
pp. 10002 ◽  
Author(s):  
Agnieszka Dudzik ◽  
Beata Potrzeszcz-Sut
Keyword(s):  
Reliability Analysis ◽  
Reliability Index ◽  
Structural Reliability ◽  
Limit State ◽  
Random Variables ◽  
Transformation Method ◽  
Stability Loss ◽  
Cross Sectional ◽  
Component Reliability ◽  
State Functions

The present study considers the problems of stability and reliability of spatial truss susceptible to stability loss from the condition of node snapping. In the reliability analysis of structure, uncertain parameters, such us load magnitudes, cross-sectional area, modulus of elasticity are represented by random variables. Random variables are not correlated. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier. In the performed analyses explicit form of the random variables function were used. To formulate explicit limit state functions the neural networks is used. In the paper only the time independent component reliability analysis problems are considered. The NUMPRESS software, created at the IFTR PAS, was used in the reliability analysis. The Hasofer-Lind index in conjunction with transformation method in the FORM was used as a reliability measure. The primary research method is the FORM method. In order to verify the correctness of the calculation SORM and Monte Carlo methods are used. The values of reliability index for different descriptions of mathematical model of the structure were determined. The sensitivity of reliability index to the random variables is defined.

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