Coupling Effects and Sensitivity Analysis for Graycale System Reliability

2007 ◽  
Author(s):  
Tomonori Honda ◽  
Erik K. Antonsson
Keyword(s):  
Sensitivity Analysis ◽  
System Reliability ◽  
System Performance ◽  
Coupling Effect ◽  
Traditional Approach ◽  
Design Criteria ◽  
Reliability Modeling ◽  
New Approach ◽  
Mass Spring ◽  
Continuous Range

Understanding of the risk and reliability of systems can be enhanced by modeling the grayscale degradation of the performance of components and determining the grayscale impact on the system performance. Rather than producing an estimate of the probability of the system being in either the working or the failed state, as more traditional risk and reliability modeling does, this approach produces estimates of the probability of the system being in any of a continuous range of states between fully working and completely failed. In this paper, earlier work is extended by exploring the cause of major differences between this new approach and traditional reliability analysis, as well as by developing sensitivity analysis for grayscale reliability. Because the coupling effect can cause significant differences between this approach and the traditional approach, the coupling effect of component degradation is explored through the examples of coupled and decoupled mass-spring-damper systems. Also, a new sensitivity measure for grayscale reliability is developed to determine how designers can trade changes in reliability with other design criteria such as cost.

scholarly journals Reliability modeling for competing failure systems with instant-shift hard failure threshold

2018 ◽  
Vol 42 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Jingyi Liu ◽  
Yugang Zhang ◽  
Bifeng Song
Keyword(s):  
Sensitivity Analysis ◽  
System Reliability ◽  
Reliability Model ◽  
External Shocks ◽  
Reliability Modeling ◽  
Soft Failure ◽  
Random Shock ◽  
Hard Failure ◽  
Engineering Practices ◽  
Random Shocks

Many researchers have modeled systems under multiple dependent competing failure processes (MDCFP) in recent years. Typically, those failure processes consist of degradation (soft failure) and random shock (hard failure). In previous papers the threshold of hard failure has been a fixed value, which does not reflect engineering practices. Threshold refers to the ability to resist external random shocks, which shifts with time as the system is used. Thus, this paper establishes a model for MDCFP with instant-shift hard threshold. The hard failure threshold changes with time instantaneously, and it is also influenced by external shocks. This paper also presents a system reliability model. The effectiveness of the presented model is demonstrated by a reliability analysis of the micro-engine at Sandia National Laboratories. In addition, a sensitivity analysis is performed for specific parameters.

scholarly journals Reliability Evaluation of Service-Oriented Architecture Systems Considering Fault-Tolerance Designs

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Kuan-Li Peng ◽  
Chin-Yu Huang
Keyword(s):  
Sensitivity Analysis ◽  
Fault Tolerance ◽  
System Reliability ◽  
Service Oriented Architecture ◽  
Reliability Evaluation ◽  
System Structure ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Fine Grain ◽  
Service Oriented

Service-oriented architecture (SOA) provides an elastic and automatic way to discover, publish, and compose individual services. SOA enables faster integration of existing software components from different parties, makes fault tolerance (FT) feasible, and is also one of the fundamentals of cloud computing. However, the unpredictable nature of SOA systems introduces new challenges for reliability evaluation, while reliability and dependability have become the basic requirements of enterprise systems. This paper proposes an SOA system reliability model which incorporates three common fault-tolerance strategies. Sensitivity analysis of SOA at both coarse and fine grain levels is also studied, which can be used to efficiently identify the critical parts within the system. Two SOA system scenarios based on real industrial practices are studied. Experimental results show that the proposed SOA model can be used to accurately depict the behavior of SOA systems. Additionally, a sensitivity analysis that quantizes the effects of system structure as well as fault tolerance on the overall reliability is also studied. On the whole, the proposed reliability modeling and analysis framework may help the SOA system service provider to evaluate the overall system reliability effectively and also make smarter improvement plans by focusing resources on enhancing reliability-sensitive parts within the system.

DEBUGGING PROCESS-ORIENTED DISCRETE SOFTWARE RELIABILITY MODELING

2009 ◽  
Vol 16 (04) ◽  
pp. 357-370 ◽  
Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA
Keyword(s):  
Discrete Time ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Reliability Growth ◽  
Reliability Modeling ◽  
New Approach ◽  
Time Modeling ◽  
Software Reliability Growth ◽  
Discrete Time Modeling

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.

scholarly journals DISSECTING GALAXY FORMATION MODELS WITH SENSITIVITY ANALYSIS—A NEW APPROACH TO CONSTRAIN THE MILKY WAY FORMATION HISTORY

2014 ◽  
Vol 787 (1) ◽  
pp. 20 ◽  
Author(s):  
Facundo A. Gómez ◽  
Christopher E. Coleman-Smith ◽  
Brian W. O'Shea ◽  
Jason Tumlinson ◽  
Robert L. Wolpert
Keyword(s):  
Sensitivity Analysis ◽  
Galaxy Formation ◽  
Milky Way ◽  
New Approach ◽  
Formation History

Bayesian Networks Application in Multi-State System Reliability Analysis

2013 ◽  
Vol 347-350 ◽  
pp. 2590-2595 ◽  
Author(s):  
Sheng Zhai ◽  
Shu Zhong Lin
Keyword(s):  
Bayesian Network ◽  
Reliability Analysis ◽  
System Reliability ◽  
Prior Probability ◽  
State System ◽  
Weak Links ◽  
Uncertain Reasoning ◽  
Reliability Modeling ◽  
Line System ◽  
Reliability Indices

Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.

Modeling multi-state system reliability analysis in a power station under fatal and nonfatal shocks: a simulation approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Reza Pourhassan ◽  
Sadigh Raissi ◽  
Arash Apornak
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
System Performance ◽  
Failure Process ◽  
State System ◽  
Failure Behavior ◽  
Simulation Approach ◽  
Critical System ◽  
Content Type ◽  
System Reliability Analysis

PurposeIn some environments, the failure rate of a system depends not only on time but also on the system condition, such as vibrational level, efficiency and the number of random shocks, each of which causes failure. In this situation, systems can keep working, though they fail gradually. So, the purpose of this paper is modeling multi-state system reliability analysis in capacitor bank under fatal and nonfatal shocks by a simulation approach.Design/methodology/approachIn some situations, there may be several levels of failure where the system performance diminishes gradually. However, if the level of failure is beyond a certain threshold, the system may stop working. Transition from one faulty stage to the next can lead the system to more rapid degradation. Thus, in failure analysis, the authors need to consider the transition rate from these stages in order to model the failure process.FindingsThis study aims to perform multi-state system reliability analysis in energy storage facilities of SAIPA Corporation. This is performed to extract a predictive model for failure behavior as well as to analyze the effect of shocks on deterioration. The results indicate that the reliability of the system improved by 6%.Originality/valueThe results of this study can provide more confidence for critical system designers who are engaged on the proper system performance beyond economic design.

A New Pattern of Old Fabric: Taʻlīm-i fārisī and the Grammatical Description of the Persian Language in the Ottoman Empire

2021 ◽  
Vol 27 (41) ◽  
pp. 31-48
Author(s):  
Munir Drkić ◽  
Ahmed Zildžić
Keyword(s):  
Ottoman Empire ◽  
19Th Century ◽  
Paradigm Shift ◽  
Traditional Approach ◽  
New Approach ◽  
Persian Language ◽  
European Languages ◽  
Language Students ◽  
The 19Th Century

This paper aims to examine the work entitled Taʻlīm-i fārisī in the context of the Ottoman tradition of the grammatical study of the Persian language. Taʻlīm-i fārisī, most likely penned by Kemal-pasha, is a short yet exceedingly significant primer for Persian language students dated in the middle of the 19th century. After a brief overview of the Persian grammar studies in the Ottoman Empire, the authors present the work and its author and conduct an analysis of the content of Taʻlīm-i fārisī. In terms of its underlying methodology, this work stands halfway between two principal tendencies: one is the traditional approach to studying the Persian language in the Ottoman Empire; another is a new approach developed under the influence of grammatical description of European languages. This paradigm shift in the Persian language's grammatical description within the Ottoman Empire is readily observable in the primer under review.

scholarly journals A New Approach for Sampling Ordered Parameters in Probabilistic Sensitivity Analysis

2017 ◽  
Vol 36 (3) ◽  
pp. 341-347 ◽  
Author(s):  
Shijie Ren ◽  
Jonathan Minton ◽  
Sophie Whyte ◽  
Nicholas R. Latimer ◽  
Matt Stevenson
Keyword(s):  
Sensitivity Analysis ◽  
Probabilistic Sensitivity Analysis ◽  
New Approach

scholarly journals Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2391 ◽  
Author(s):  
Kody Ponds ◽  
Ali Arefi ◽  
Ali Sayigh ◽  
Gerard Ledwich
Keyword(s):  
Demand Response ◽  
Electricity Market ◽  
Swot Analysis ◽  
Traditional Approach ◽  
Customer Engagement ◽  
Energy Integration ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Knowledge Based ◽  
Political Economic

The world is progressing towards a more advanced society where end-consumers have access to local renewable-based generation and advanced forms of information and technology. Hence, it is in a current state of transition between the traditional approach to power generation and distribution, where end-consumers of electricity have typically been inactive in their involvement with energy markets and a new approach that integrates their active participation. This new approach includes the use of distributed energy resources (DER) such as renewable-based generation and demand response (DR), which are being rapidly adopted by end-consumers where incentives are strong. This paper presents the role of the DR aggregator to effectively integrate DER technology as a new source of energy capacity into electricity networks using information communication technology and industry knowledge., Based on DR aggregators, this framework will efficiently facilitate renewable energy integration and customer engagement into the electricity market. To this aim, advantages and disadvantages of DR aggregators are discussed in this paper from political, economic, social, and technological (PEST) points of view. Based on this analysis, a strengths, weaknesses, opportunities, and threats (SWOT) analysis for a typical DR aggregator is presented.

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