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The safety and reliability society 安全可靠的社会
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90110-7
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引用次数: 0
Proportional hazards analysis of field warranty data 现场保修数据的比例危害分析
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90027-8
Thomas L. Landers, William J. Kolarik
{"title":"Proportional hazards analysis of field warranty data","authors":"Thomas L. Landers,&nbsp;William J. Kolarik","doi":"10.1016/0143-8174(87)90027-8","DOIUrl":"10.1016/0143-8174(87)90027-8","url":null,"abstract":"<div><p>This paper describes a proportional hazards reliability analysis and some of the methods of statistical inference, based on asymptotic theory. The authors report application of the Weibull proportional hazards model to the analysis of actual field warranty data for automotive air conditioning compressors. Statistical inference is illustrated through asymptotic normal confidence intervals and the likelihood ratio test statistic. The research employed a commercial data set to test theories relevant to defensive systems reliability analysis, and illustrates technology transfer from defense-research to commercial applications.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"18 2","pages":"Pages 131-139"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90027-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83580549","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}
引用次数: 7
Development of the dynamic fault tree using Markovian process and supercomponent 基于马尔可夫过程和超分量的动态故障树研究
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90108-9
Kwang Sub Jeong , Soon Heung Chang, Tae Woon Kim
{"title":"Development of the dynamic fault tree using Markovian process and supercomponent","authors":"Kwang Sub Jeong ,&nbsp;Soon Heung Chang,&nbsp;Tae Woon Kim","doi":"10.1016/0143-8174(87)90108-9","DOIUrl":"10.1016/0143-8174(87)90108-9","url":null,"abstract":"<div><p>The existing fault tree technique is static, whereas the proposed technique using the Markovian process can treat the fault tree dynamically.</p><p>By using the Markovian process, it is possible to model the dynamic features of the existing fault tree and to handle the dependencies on the state of the system. This conbination allows detailed consideration of component maintenance, which is normally not considered in the on/off logic of the fault tree.</p><p>The Markovian process is based on the probabilistic models. It is also characterized by the state and the time, so the system, which is composed of a number of basic events, can be described at any time by specifying its state at that time.</p><p>In the Markovian approach for fault tree, the concept of the supercomponent is introduced in order to reduce the number of system states and the size of the transition matrix. Now, a number of basic events are considered to be one component in the Markovian process.</p><p>Using the proposed dynamic fault tree analysis, a sample calculation is performed. As a result, the unavailability is much less than the value for the static fault tree analysis. Namely, the conservatism of the current analysis is excluded in this paper. The dynamic behavior of each system state and of the overall system is well analyzed. The interactions between the supercomponent tested and the supercomponent not tested are dynamically analyzed, too.</p><p>In conclusion, by using the Markovian process and the concept of the supercomponent, the size of transition matrix is reduced, and especially, the effect of the tested supercomponent on the system is dynamically analyzed.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"19 2","pages":"Pages 137-160"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90108-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86267071","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}
引用次数: 4
Cost limit replacement policy under imperfect repair 维修不完善情况下的成本限制更换政策
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90017-5
W.Y. Yun, D.S. Bai
{"title":"Cost limit replacement policy under imperfect repair","authors":"W.Y. Yun,&nbsp;D.S. Bai","doi":"10.1016/0143-8174(87)90017-5","DOIUrl":"10.1016/0143-8174(87)90017-5","url":null,"abstract":"<div><p>A repair cost limit policy is studied for a system whose repair cost can be estimated by inspection. When a system fails, the repair cost is estimated and repair is undertaken if the estimated cost is less than a predetermined limit L; otherwise, the system is replaced. After repair, the system is as good as new with (<span><math><mtext>1−p</mtext></math></span>) or is minimally repaired with p. The s-expected cost rate is used as a criterion for optimization. The existence and uniqueness of optimum L are studied for the case of Weibull time-to-failure distribution and negative exponential repair cost distribution.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"19 1","pages":"Pages 23-28"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90017-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74250678","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}
引用次数: 17
Experiments in software reliability estimation 软件可靠性评估实验
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90026-6
P. Mellor
{"title":"Experiments in software reliability estimation","authors":"P. Mellor","doi":"10.1016/0143-8174(87)90026-6","DOIUrl":"10.1016/0143-8174(87)90026-6","url":null,"abstract":"<div><p>There is an urgent need for manufacturers and users of programmable electronic systems to be able to quantify the risk of system failure due to design faults in software. The reliability of the hardware components of such systems can be assessed using well-tried techniques. By contrast, software reliability is still a ‘grey area’, with no generally accepted methods of assessment.</p><p>This paper describes the results of using the Littlewood Stochastic Reliability Growth Model with maximum likelihood parameter estimation to forecast the behaviour of sets of simulated failure data, generated on the assumptions of the model and using a variety of parameter values. The forecasts are long-term, such as would be made for large software products whose reliability is important from the support cost point of view, but not critical as regards safety. The data is of the ‘grouped’ variety: counts of faults found in successive intervals.</p><p>The predictions are generally of low accuracy. They are particularly bad for extreme parameter values, corresponding to very many, very infrequently manifest faults, and to few frequently manifest faults. The length of the period of observation relative to the average rate of fault manifestation is also crucial.</p><p>Possible reasons for this poor performance and improvements to the estimation methods are discussed.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"18 2","pages":"Pages 117-129"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90026-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72828551","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}
引用次数: 3
Application of a computerized methodology for performing common cause failure analysis: The Mocus-Bacfire beta factor (MOBB) code 应用计算机化方法进行共因故障分析:Mocus-Bacfire beta因子(MOBB)代码
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90043-6
Carolyn D. Heising, Diane M. Luciani
{"title":"Application of a computerized methodology for performing common cause failure analysis: The Mocus-Bacfire beta factor (MOBB) code","authors":"Carolyn D. Heising,&nbsp;Diane M. Luciani","doi":"10.1016/0143-8174(87)90043-6","DOIUrl":"10.1016/0143-8174(87)90043-6","url":null,"abstract":"<div><p>A fault tree analysis and qualitative common cause failure analysis of a power distribution box system was performed utilizing the Mocus-Bacfire Beta Factor (MOBB) code developed previously. This paper illustrates the advantages of this method over other available common cause procedures. This study indicates that the accepted use of the rare event approximation in performing fault tree analysis may lead to underestimates of risk by neglecting common cause dependencies. These dependencies have been fully modelled here, where it is shown that the error factor for the total system failure rate is high when common cause failures dominate random failures.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"17 3","pages":"Pages 193-210"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90043-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87692256","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}
引用次数: 7
Contents of Volume 14, Volume 15 ,volume 16 第14卷，第15卷，第16卷的内容
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90089-8
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引用次数: 0
Methods for global reliability evaluation of any large complex system 大型复杂系统的整体可靠性评估方法
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90052-7
M.A. Samad
{"title":"Methods for global reliability evaluation of any large complex system","authors":"M.A. Samad","doi":"10.1016/0143-8174(87)90052-7","DOIUrl":"10.1016/0143-8174(87)90052-7","url":null,"abstract":"<div><p>Global reliability (g-reliability) of any complex system is defined and two simplified different methods for evaluating the same are proposed. Both the proposed methods are conceptually simpler and computationally efficient for g-reliability evaluation of any large complex system and effectively applicable to its proper form. They therefore require less computer memory and computational efforts as compared to other existing methods. Proposed methods are applicable to the network having both nodes and branches of finite non-zero failure probability. The efficiency of each method increases with the complexity of the network. Both the proposed methods are also illustrated with examples to demonstrate the effectiveness of each method.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"18 1","pages":"Pages 47-55"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90052-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77419313","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}
引用次数: 7
Asymptotic unavailability for an M-out-of-N system without testing 未经测试的m -of- n系统的渐近不可用性
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90042-4
N.J. McCormick
{"title":"Asymptotic unavailability for an M-out-of-N system without testing","authors":"N.J. McCormick","doi":"10.1016/0143-8174(87)90042-4","DOIUrl":"10.1016/0143-8174(87)90042-4","url":null,"abstract":"<div><p>A simple closed form equation is presented for the asymptotic unavailability of a system consisting of N identical units of which M are required for operation. Nonoperating units can fail during standby, and at most R failed units can be under repair at any time. A Markov model is assumed, e.g. the units fail randomly and require a random time interval for repair; there are no periodic inspections or tests. The equation has useful pedagogical applications since there are six independent variables that can be changed.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"17 3","pages":"Pages 189-191"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90042-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81558947","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}
引用次数: 0
A Bayes approach to reliability assessment for systems with dependent components 具有相关组件的系统可靠性评估的贝叶斯方法
Reliability Engineering Pub Date : 1987-01-01 Epub Date: 2003-03-05 DOI: 10.1016/0143-8174(87)90080-1
John Yuan
{"title":"A Bayes approach to reliability assessment for systems with dependent components","authors":"John Yuan","doi":"10.1016/0143-8174(87)90080-1","DOIUrl":"10.1016/0143-8174(87)90080-1","url":null,"abstract":"<div><p>In order to establish a feasible and useful reliability evaluation model for a network system of dependent components, the failure of a component is distinguished into many states artificially, according to the causes which bring about such a failure and the effects to the system in such a way that the failure rate of each state can be easily estimated. Such failure state of a component can be grouped into four types, single (stochastical independent), active, passive and common-cause failures.</p></div>","PeriodicalId":101070,"journal":{"name":"Reliability Engineering","volume":"17 1","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-8174(87)90080-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89511336","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}
引用次数: 4
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