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2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)最新文献

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Best practices for effective reliability program plans 有效可靠性计划的最佳实践
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448073
Carl Carlson, G. Sarakakis, David J. Groebel, A. Mettas
{"title":"Best practices for effective reliability program plans","authors":"Carl Carlson, G. Sarakakis, David J. Groebel, A. Mettas","doi":"10.1109/RAMS.2010.5448073","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448073","url":null,"abstract":"In this paper we take a comprehensive look into the practice of developing and executing reliability program plans. The paper is divided in three sections. In the first section we identify best practices concerning the process of developing and implementing a reliability program plan (RPP). The second section deals with the common pitfalls and the lessons learned from developing reliability program plans. In the last section, we present the results of a broad customer survey that captures and categorizes common practices and problems when developing and implementing a reliability program plan.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730135","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: 12
Life and reliability forecasting of the CSADT using Support Vector Machines 基于支持向量机的CSADT寿命与可靠性预测
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447978
Shuzhen Li, Xiaoyang Li, T. Jiang
{"title":"Life and reliability forecasting of the CSADT using Support Vector Machines","authors":"Shuzhen Li, Xiaoyang Li, T. Jiang","doi":"10.1109/RAMS.2010.5447978","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447978","url":null,"abstract":"Accelerated Degradation Testing (ADT) is now adopted frequently to verify the reliability and life of high-reliable, long-life product. But ADT data analysis methods are still deficiency. Due to the excellent capable of little sample learning and nonlinear mapping, SVM prediction model is widely used in many fields. In this paper, a new degradation prediction method based on Support Vector Machines (SVM) is proposed and developed to predict time-to-failure of product. This prediction method is also compared with BPANN and regression methods to validate its effectiveness. Moreover, Constant Stress ADT is studied and ADT data are divided into several sets of performance degradation under different stress levels. Using SVM prediction method, all degradation processes are predicted to failure and lifetimes are obtained easily, then life and reliability under normal condition are evaluated by accelerated model. Simulation case demonstrates that the life and reliability prediction for CSADT based on SVM is reasonable and validity","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123765995","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
Piecewise NHPP models with maximum likelihood estimation for repairable systems 具有最大似然估计的可修系统分段NHPP模型
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448029
Huairui Guo, A. Mettas, G. Sarakakis, Pengying Niu
{"title":"Piecewise NHPP models with maximum likelihood estimation for repairable systems","authors":"Huairui Guo, A. Mettas, G. Sarakakis, Pengying Niu","doi":"10.1109/RAMS.2010.5448029","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448029","url":null,"abstract":"Non-homogeneous Poisson process (NHPP) models are widely used for repairable system analysis. Different NHPP models have been developed for different applications. It has been noticed that almost all the existing models apply only a single model for the entire system development or operation period. However, in some circumstances, such as when the system design or the system operation environment experiences major changes, a single model will not be appropriate to describe the failure behavior for the entire timeline. In this paper, we proposed a piecewise NHPP model for repairable systems with multiple stages. The maximum likelihood estimation (MLE) for the model parameters is also provided.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129540077","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: 12
Software reliability accelerated testing method based on mixed testing 基于混合测试的软件可靠性加速测试方法
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448017
Yumei Wu, Yongqi Zhang, Minyan Lu
{"title":"Software reliability accelerated testing method based on mixed testing","authors":"Yumei Wu, Yongqi Zhang, Minyan Lu","doi":"10.1109/RAMS.2010.5448017","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448017","url":null,"abstract":"This study is conducted by solving these four key questions: the key points of the whole testing process; the data and information to be collected during the testing process; the model to estimate the software reliability; the verification of the testing method and the estimation model.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116222062","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: 16
Reliability analysis of missions with cooperating platforms 协同平台任务可靠性分析
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447993
J. Andrews, R. Remenyte-Prescott, D. Prescott
{"title":"Reliability analysis of missions with cooperating platforms","authors":"J. Andrews, R. Remenyte-Prescott, D. Prescott","doi":"10.1109/RAMS.2010.5447993","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447993","url":null,"abstract":"A phased mission analysis approach for cooperating platforms is outlined in this paper, when a common mission goal is achieved through collaboration of a number of individual platforms. Phase failure probabilities for individual platform mission and the overall mission are used to measure the mission success. Since any platform capability can degrade during the mission, the mission failure probability can exceed an acceptable level and mission reconfiguration is then considered. Phase failure models are built, updated and analyzed using fault trees converted to binary decision diagrams (BDD), due to the efficiency and accuracy of the BDD method required to support decisions on the operation of complex systems. The application of the methodology in the decision making strategy is illustrated using a multiplatform phased mission example from the military arena.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114591170","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
Soft computing approaches in reliability modeling and analysis of repairable systems 可修系统可靠性建模与分析中的软计算方法
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447986
M. Salgado, W. Caminhas, B. Menezes
{"title":"Soft computing approaches in reliability modeling and analysis of repairable systems","authors":"M. Salgado, W. Caminhas, B. Menezes","doi":"10.1109/RAMS.2010.5447986","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447986","url":null,"abstract":"This paper reviews soft computing approaches for reliability modeling and analysis of repairable systems. Although soft computing techniques such as neural networks and fuzzy systems and even stochastic methods have been employed for solving many different engineering complex problems, when it comes to reliability area traditional approaches are still preferred by industry. Unfortunately with the increasing complexity of systems such techniques might not be able to capture the changes in system features in a precise way what could help to prevent failures and improve system performance. This is a fairly new research area and the literature available points to the new challenges reliability engineers will have to face and the new tools they might use for planning and improving system reliability. In this paper basics of soft computing techniques will be provided as well as examples on how to apply them on the modeling and analysis of repairable systems. It is emphasized that this is a broad open subject and this paper does not try to be conclusive by any means.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840702","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: 6
Value of condition monitoring information for maintenance decision-making 状态监测信息对维修决策的价值
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447963
Tuan K Huynh, A. Barros, C. Bérenguer, I. Castro
{"title":"Value of condition monitoring information for maintenance decision-making","authors":"Tuan K Huynh, A. Barros, C. Bérenguer, I. Castro","doi":"10.1109/RAMS.2010.5447963","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447963","url":null,"abstract":"This paper provides a methodology to assess the value of condition monitoring for the maintenance decision-making on a deteriorating single-unit system. A general deterioration/failure model is first proposed for a system subject to competing failure modes due to wear and traumatic ¿shock¿ events. Based on this model, the mathematical cost models for two maintenance policies (i.e. block replacement and periodic inspection replacement) are developed. Finally, the value of the condition monitoring information obtained through the inspections is investigated by comparing on numerical examples of the optimal expected costs of both proposed policies. This work shows how the analysis of the maintenance costs savings using the maintenance cost models developed in this work can be used to justify or not the choice to implement an inspection/replacement policy based on condition monitoring information and to invest in condition monitoring devices. It is indeed useful to follow closely the actual evolution of deterioration path to adapt the maintenance decisions to the true state of the system to improve the maintenance policy performance and decrease its costs.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122033120","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: 10
Using risk assessment to mitigate new business demands uncertainties 使用风险评估来减少新的业务需求的不确定性
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447974
C. A. Scapin, Luciano de Alencar Miranda Gomes
{"title":"Using risk assessment to mitigate new business demands uncertainties","authors":"C. A. Scapin, Luciano de Alencar Miranda Gomes","doi":"10.1109/RAMS.2010.5447974","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447974","url":null,"abstract":"The association of FTA, cut set probabilities, Cost Risk Simulation and QFD principles in a sequence make possible the development of a conceptual model of risk management process to support a decision make for new business demands.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122069068","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
Fatigue life of a design subject to wide-band random loading 宽频带随机载荷作用下设计的疲劳寿命
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448079
Wendai Wang
{"title":"Fatigue life of a design subject to wide-band random loading","authors":"Wendai Wang","doi":"10.1109/RAMS.2010.5448079","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448079","url":null,"abstract":"Metal fatigue is one of the most important failure modes to be considered in mechanical and structural design. The only satisfactory way to prevent fatigue failures in the service life span is by proper design; i.e., being able to predict the fatigue lifetime of a particular design through design analysis or testing. For engineering applications, designers need a simple and reasonably accurate design code to predict the reliability or fatigue lifetime of a design for a specified application. This paper will provide a methodology in frequency domain to determine the reliability (high-cycle fatigue life) under wide-band Gaussian random loading. For the wide-band variable-amplitude stress, stress cycles and cycle counts are not obvious. A cycle-counting method is proposed for the wide-band random stress in this paper. After deriving the distributions of both the amplitude and the mean value of the stress cycles according to the proposed cycle-counting method, the fatigue lifetime distribution can be obtained directly from knowledge of the power spectral density (PSD) of the hot-spot stress and the statistical expression of fatigue strength (i.e., P-S-N curves). The effect of a non-zero mean of stress process is also easily taken into account in this approach. The derived formula has been verified with several random fatigue tests and can be used at the engineering design stage where the hot-spot stress history is actually not available.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098181","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: 1
Reliability prediction using an unequal interval grey model 基于不等区间灰色模型的可靠性预测
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448063
Yuhong Wang, E. Pohl, Yao-guo Dang
{"title":"Reliability prediction using an unequal interval grey model","authors":"Yuhong Wang, E. Pohl, Yao-guo Dang","doi":"10.1109/RAMS.2010.5448063","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448063","url":null,"abstract":"An unequal interval grey model is constructed to predict component reliability using meantime between failure data. The initial grey model developed focuses on predicting failure tendencies using equal time intervals or an equally spaced interval sequence for small sample sizes. Using this approach, the grey model does a poor job of predicting component reliabilities. To better predict component reliability at a random failure time an unequal time interval grey model is constructed. An improved formula expression for the first-order accumulated generation operator is developed. Using this formula and the whitened equation for the grey differential model, yields a higher prediction precision for the improved unequal interval grey model. A numerical example is used to illustrate the method mentioned above. These results are compared with parametric estimates found using the maximum likelihood method as well as with Kaplan-Meier nonparametric estimates of reliability. The results indicate that the unequal time interval grey model is capable of predicting component reliabilities better than maximum likelihood estimation approach and the Kaplan-Meier nonparametric methods.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803287","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
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