{"title":"Diagnostic systems for power balancing large laser fusion facilities","authors":"Guangyu Chen, Xiaomin Zhang, R. Zhao","doi":"10.1109/RAMS.2009.4914721","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914721","url":null,"abstract":"Multiple powerful lasers are shot from large laser fusion facilities synchronously to heat and compress hydrogen fuel to the point where nuclear fusion reactions take place, with the goal of ignition. When the fusion reactions become selfsustaining and controllable, they will provide new clean energy to human beings.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying software failure modes and effects analysis to interfaces","authors":"N. Ozarin","doi":"10.1109/RAMS.2009.4914732","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914732","url":null,"abstract":"Software failure modes and effects analysis (SFMEA) is sometimes applied to new mission-critical and safety-critical system development. This kind of analysis, like its older cousin Hardware FMEA (HFMEA), tries to determine all possible types of failure for each component, one by one, and attempts to predict system-level effects for each failure. While software variables and classes don't fail in the sense that hardware fails, variables do sometimes assume unexpected values [1] and class methods don't always perform as expected.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"System of systems reliability for multi-state systems","authors":"J. L. Cook","doi":"10.1109/RAMS.2009.4914642","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914642","url":null,"abstract":"The proliferation of networking technologies in commercial, consumer, and industrial applications has been mirrored in the defense industry. The US Department of Defense, along with comparable organizations abroad, have adopted a network centric paradigm for emerging and future systems. This migration to an information based approach is akin to the move to Just-In-Time manufacturing. That is, both approaches seek to achieve synergies from Information rather than from bulk of material. In the JIT case, this material is the component parts or materials, and in the military SoS the material may be armor and/or ammunition. Specifically, the US military is attempting to leverage the synergies of net centricity in order to obtain a more mobile and lighter fighting fleet that retains the same lethality and survivability by shedding armor and ammo in favor of information (radios and computers). In previous years, this author has presented papers on network reliability [1] and multi-state reliability [2] to the RAMS. In this year's paper, the notion of multi-state reliability is combined with the ad-hoc network reliability methods. This integrated model provides the ability to measure, in capacity terms the reliability of a SoS level by considering the network's state (connectivity) temporally and the interactions and contributions of its elements. Specifically, this paper describes a mathematical construct for simulating the capacity of general functions including lethality, mobility, survivability, reconnaissance, and supportability based upon traditional probabilistic measures of reliability. Next, the paper will describe a new method to combine those platform capabilities to an aggregate SoS level capability that is dependent on the connectivity between those nodes and the resultant synergies realized due to said connectivity.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126067311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bayesian parameter estimation with prior weighting in ALT model","authors":"S. Voiculescu, F. Guérin","doi":"10.1080/16843703.2011.11673269","DOIUrl":"https://doi.org/10.1080/16843703.2011.11673269","url":null,"abstract":"This paper provides an overview of the application of Bayesian inference to accelerated life testing (ALT) models for the concrete case of estimation by Maximum of Aposteriori (MAP) method in the case of constant stress levels. It studies the Bayesian inference over the accelerated life model as presented in [1]. It suites, integrates and generalizes the particular cases presented in [2] and [3]. Towards the end, weighting of the prior information according to data is integrated. The paper also illustrates an experimental example.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129277063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging Total Ownership Cost analysis to optimize in-service R&M programs","authors":"John Millhouse","doi":"10.1109/RAMS.2009.4914723","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914723","url":null,"abstract":"There will never be enough money for all the Reliability and Maintainability (R&M) investments we can identify as potentially worthwhile. However, innovative processing of the output of sufficiently detailed Total Ownership Cost analyses makes it possible to identify the most promising improvement opportunities, rank them in order of economic viability, and build competitive business cases for implementation. A powerful and highly intuitive software prototype has been deployed to this end into several weapon system programs. While the extent to which it achieves its basic aim of optimizing resource investments will take some years to establish, sufficient interest has been generated to justify significant refinement effort.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124675747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new method for reliability analysis of standby systems","authors":"S. Amari, G. Dill","doi":"10.1109/RAMS.2009.4914713","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914713","url":null,"abstract":"Redundancy is a basic and fundamental concept used in reliability engineering. However, the methods for analyzing the reliability of redundant systems, particularly for systems with standby redundancy, are limited. In this paper, using the concepts of counting processes, we propose a simple, accurate, and computationally efficient method to find the reliability of standby systems. The proposed method efficiently analyzes systems with non-identical components, mixed cold-warm-hot standby components, shared standby components among different subsystems operating at different conditions, switching failures, and general failure time distributions. We demonstrate the proposed method using several examples. We also provide the CPU times and a complete listing of the MATLAB code used. The examples demonstrate that the proposed method provides a practical and accurate way of evaluating the reliability of complex standby configurations that arise in a wide range of applications.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125110215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bayesian reliability demonstration test in a Design for Reliability process","authors":"Mingxiao Jiang, Daniel J. Dummer","doi":"10.1109/RAMS.2009.4914645","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914645","url":null,"abstract":"This paper illustrates how a Bayesian reliability demonstration test (BRDT) approach can be, and sometimes must be, integrated into a Design for Reliability (DFR) process. A simplified and effective BRDT algorithm is given, based on the prior distribution characteristics of reliability in the DFR process. The BRDT can significantly reduce sample size in reliability demonstration test, and serve as a powerful validation tool in DFR.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123938362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving the 1-parameter Weibull: A Bayesian approach","authors":"A. Aron, Huairui Guo, A. Mettas, D. Ogden","doi":"10.1109/RAMS.2009.4914644","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914644","url":null,"abstract":"Using maximum likelihood estimation (MLE) to estimate the parameters in a Weibull distribution will lead to a biased estimation of the shape parameter when the sample size is small or too few failures are observed. This bias may lead to inaccurate reliability point estimates. In addition, with few data points available in the calculation, the uncertainty of the estimated parameters is high, which again leads to high uncertainty in the predicted reliability (i.e. wide confidence bounds). To overcome these two issues, the 1-parameter Weibull distribution has been widely used, provided that the shape parameter is known beforehand. This approach, however, does not account for any uncertainty in the assumed value of the shape parameter and can therefore yield optimistic results in the form of tight confidence bounds. It can be improved with better information about the variability of the shaper parameter. In this paper, a Bayesian model, which is an improved approach for the 1-parameter Weibull, is discussed. Recommendations for establishing variability models for the Weibull shape parameter are presented.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability analysis of dynamic fiber bundle models","authors":"S. Amari, H. Pham","doi":"10.1109/RAMS.2009.4914640","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914640","url":null,"abstract":"Fiber bundle models are useful tools for explaining dynamic failure behavior in heterogeneous materials. Such models shed light on diverse phenomena such as fatigue in structural materials and earthquakes in geophysical settings. Building good theoretical models has proven straightforward, but analyzing them has required delving into statistical details of the interaction of various flaw features and failure configurations, which has proven to be deceptively difficult. In this paper, we present a new method for reliability analysis of dynamic fiber bundle models. As in previous works, we assume that a fiber has a failure rate following a power law in its load level. However, unlike the exponential distribution used in the previous works, we consider that the remaining lifetimes of the surviving fibers follow Weibull distributions according to either the cumulative exposure model or tampered failure rate model. We develop both exact asymptotic reliability formulas and easy to compute bounds. Further, we also describe a fast simulation algorithm that greatly increases the bundle sizes that can be analyzed.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Weibayes testing: What is the impact if assumed beta is incorrect?","authors":"D. Nicholls, P. Lein","doi":"10.1109/RAMS.2009.4914646","DOIUrl":"https://doi.org/10.1109/RAMS.2009.4914646","url":null,"abstract":"This paper evaluates Weibayes small sample, zero and sudden death failure test and data analysis techniques in order to mathematically and graphically quantify the risk associated with assuming an incorrect value of the Weibull shape parameter, beta (β). Specifically, the risk associated with assuming a value of β that is higher than the “true” value of β is investigated, as this is the scenario that can cause users of the Weibayes approach to (1) understate the test time needed to correctly define a reliability requirement and (2) interpret the test results incorrectly and overstate the reliability actually demonstrated. The work product of this effort is a MS Excel® spreadsheet that automates the process of quantifying the risk associated with the Weibayes approach.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124383062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}