{"title":"The design and evaluation of all voting triple modular redundancy system","authors":"Hyunki Kim, H. Jeon, Keyseo Lee, Hyuntae Lee","doi":"10.1109/RAMS.2002.981682","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981682","url":null,"abstract":"In this paper, we develop the AVTMR (all voting triple modular redundancy) system that is operated correctly in the case of a fault, and evaluate the AVTMR system in the failure rate based on MILSPEC-217F. The AVTMR system is designed in a triplicated voter and MC68000. The Markov model is designed to evaluate the reliability, availability and MTTF (mean time to failure). In this paper, we can see that the AVTMR system has a high dependability more than a single system by evaluation. Because the AVTMR system has a fault tolerant characteristic, it can be applied to airplane and railway systems.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130396852","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":"Approximation method and formulas for average unavailability of systems with latent faults","authors":"A. V. Ramesh, D. Twigg, T. Sharma","doi":"10.1109/RAMS.2002.981686","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981686","url":null,"abstract":"Approximation method and formulas are provided for the average per flight probability of failure for aircraft systems whose components can fail latently. The approximations are given for two and three component redundant systems. The accuracy of the approximate formulas is studied by comparing them to the numerical results from a Markov solver. It shows that the approximation is close to the exact result in ultra-high reliability systems for a large range of failure rates of the components. The formulas are useful in representing event combinations involving latent events in fault trees. They could also be used to estimate the average per flight failure probability of more complex systems by a combination of the rare event approximation and the application of the formulas to the minimal cutsets of the system failure event.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129253274","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 system for risk management of LNG receiving terminals and piping network","authors":"D. Takagi, K. Koyama, A. Ishizuka, K. Kawai","doi":"10.1109/RAMS.2002.981643","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981643","url":null,"abstract":"As a support tool of risk management, an approach to the reliability analysis system for the complex technical systems and its application to LNG (liquefied natural gas) receiving terminals are described. We have developed a tool capable of quantitative evaluation of the reliability of LNG facilities based on FTA (fault tree analysis) method and have implemented it in Gensym's G2. A key feature of the system is it constructs a fault tree automatically from diagrams such as process flow diagrams, and sequence block diagrams. The system has actually been used in the evaluation of existing LNG receiving terminals, and has also contributed to cost reduction in constructing a new terminal.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485381","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":"Sample sizes for system availability","authors":"V. P. Singh, S. Swaminathan","doi":"10.1109/RAMS.2002.981619","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981619","url":null,"abstract":"This paper presents a methodology for determining sample sizes for system availability under the assumption that the time between failures and the times to repair are independently and exponentially distributed. For specified \"x-nines\" availability and confidence levels, a table for sample sizes is generated for different failed and repair events. In order to demonstrate five nines or higher availability at a given confidence, the sensitivity in sample sizes in the tails of the distribution is explored. The proposed method is also utilized to compute the confidence interval estimates for higher nines of availability. For easy use, spread sheets are created in EXCEL and Staroffice to determine the sample size for any combination of higher availability and confidence level.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126793435","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":"Optimizing condition based maintenance decisions","authors":"A. Jardine","doi":"10.1109/RAMS.2002.981625","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981625","url":null,"abstract":"The paper first reviews common strategies for implementing smart condition monitoring decisions such as trend analysis that is rooted in statistical process control, expert systems, and the use of neural networks. The paper then focuses on current industry-driven research that employs proportional hazards modeling to identify the key risk factors that should be used to identify the health of equipment from amongst those signals that are obtained during condition monitoring. Economic considerations are then blended with the risk estimate to establish optimal condition-based maintenance (CBM) decisions.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114158814","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":"Input data characterization factors for complex systems affecting availability estimation accuracy","authors":"D. P. Durkee, E. Pohl, E.F. Mykytka","doi":"10.1109/RAMS.2002.981624","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981624","url":null,"abstract":"Reliability analysts are often faced with the challenge of characterizing the behavior of system components based on limited data. Insights into which data is most significant and how much data is necessary to achieve desired accuracy requirements would improve the efficiency and cost effectiveness of the data collection and data characterization processes. This research assesses potential significant factors in the probabilistic characterization of component failure and repair behavior with respect to their effect on system availability estimates. Potential factors were screened for significance utilizing a Plackett-Burman experimental design for several system models. Two input data characterization factors were found to have a significant affect on availability estimation accuracy: the size of the system and the number of data points used for component failure and repair distributional fitting. The estimating error was minimized when the structures analyzed were small and many data points (in this case, 25) were used for the distributional fittings. Surprisingly, the assumption of constant component failure rates and the use of empirical repair distributions were found to be equally effective component characterization methods. The results of this study also indicate that there is no apparent benefit in concentrating on 'important' components for the highest fidelity distributional fittings.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115487671","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}
I. Ciarambino, S. Contini, M. Demichela, N. Piccinini
{"title":"How to avoid the generation of loops in the construction of fault trees","authors":"I. Ciarambino, S. Contini, M. Demichela, N. Piccinini","doi":"10.1109/RAMS.2002.981638","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981638","url":null,"abstract":"This paper examines the question of the generation of loops in the construction of fault trees (FTs) starting from the printouts of a hazard operability studies (HazOp) analysis. Some examples of the formation of a loop are presented and the rules for its elimination are illustrated. The easiest way is to apply simple syntax rules in the graphic construction of a FT. This, however, presupposes prior recognition by the analyst of the initiation of a loop. The safest way, therefore, is to eliminate the problem at its root by deriving the FT straight from the modules of a well-structured HazOp procedure, such as recursive operability analysis.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127616438","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":"Comprehensive review of estimating system-reliability confidence-limits from component-test data","authors":"X. Tian","doi":"10.1109/RAMS.2002.981620","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981620","url":null,"abstract":"A common problem of practical importance in reliability analysis is the determination of the reliability of a complex system where the only data available are reliability estimate of testing data on various components or subsystems that make up the system. In the literature, there have been many papers that have dealt with this problem. This paper, based on an extensive review of literature, summarizes and compares methods and models on system reliability confidence limits estimation. The advantages, disadvantages, limitations and application issues of these methods are analyzed and compared. It is shown that analytical methods are good for some specific application cases and Monte Carlo methods are the most powerful technique for very complex systems with different kinds of failure data. The results of this paper can be used as a guideline in choosing an appropriate method.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602465","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 predictions based on criticality-associated similarity analysis","authors":"A. Jackson, A. K. Jain, T. Jackson","doi":"10.1109/RAMS.2002.981698","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981698","url":null,"abstract":"In this paper, the authors describe a methodology that they call criticality-associated similarity analysis (CASA), which systematically develops a reliability prediction by applying the following empirical-based conjecture: the ratio of predicted to demonstrated reliability for a new product (i.e., a product that has never been placed in-service) is equal to the corresponding ratio for a similar in-service product that has both its predicted and demonstrated reliabilities adjusted to reflect all the failure and sneak modes, mechanisms, and root causes of the new product. The CASA methodology is practical and efficient when there is newly designed electronics equipment that is sufficiently similar to in-service electronics equipment that has a demonstrated reliability. The application of this methodology will result in a reliability prediction that is more precise than those obtained by using traditional reliability prediction methodologies.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078926","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":"Effective automated sneak circuit analysis","authors":"C. Price, N. Hughes","doi":"10.1109/RAMS.2002.981667","DOIUrl":"https://doi.org/10.1109/RAMS.2002.981667","url":null,"abstract":"The automated sneak analysis software described in this paper works well on classic sneak examples. It correctly identifies sneak paths without falsely reporting on nonexistent sneaks. It has been tried out on much larger real-world examples, and reproduces the kind of behavior that it had demonstrated on the classic sneaks. Future development of the tool will enable the exploration of internal states of complex components such as ECUs. In addition of provision to complete a sneak analysis in the presence of failures will further enhance the tool. The use of simulation and identification of significant system operation has enabled this level of performance. The system is able to use qualitative simulation early in the design process, to identify potential sneaks as early as possible. It can use the industry-standard simulator Saber later in the design process, to give a more detailed analysis. In each case, component models are not specific to sneak circuit analysis, but can be used to verify the operation of the design, to generate a failure modes and effects analysis (FMEA) report, and to provide information useful for building diagnostic systems.","PeriodicalId":395613,"journal":{"name":"Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114871332","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}