{"title":"Engineering design analysis (Physics of Failure)","authors":"Gary S. Drake","doi":"10.1109/RAMS.2010.5448049","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448049","url":null,"abstract":"In December 2007, the Army Acquisition Executive approved the new Army Reliability Policy. The policy was developed to cost-effectively increase the reliability of Army systems. The new policy encourages use of cost-effective reliability best practices and provides a mechanism to alert key Army leaders when weapon systems are off track with respect to meeting their reliability requirements.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"318 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":"115449351","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":"Compliance testing is NOT reliability testing","authors":"V. Hegde","doi":"10.1109/RAMS.2010.5447981","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447981","url":null,"abstract":"In conclusion, ensure that reliability testing is performed in addition to FDA required compliance testing. Find synergy between compliance testing and reliability testing and encourage the compliance department and reliability department to work together to reduce overall project cost and time by sharing resources.","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":"131103735","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":"From HALT results to an accurate field MTBF estimate","authors":"Harry W. McLean","doi":"10.1109/RAMS.2010.5448013","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448013","url":null,"abstract":"As HALT takes only a few days to run and to implement its corrective action(s), and even if it takes a bit longer, this time would be far less than waiting for an RDT to be run and to implement its corrective action(s). This paper discusses a mathematical model which can be a huge time and cost saver. By not performing life tests and simply doing an effective HALT, time and money will be saved. This is not to say that life testing isn't important. Life testing should be considered for new technologies and for an existing part/design with a different application but not as a process to accurately estimate AFR. AFR is defined herein as Actual field Failure Rate.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"33 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":"121168483","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":"Assessment of maintenance policies for a multi-deterioration rates system","authors":"A. Ponchet, M. Fouladirad, A. Grall","doi":"10.1109/RAMS.2010.5447964","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447964","url":null,"abstract":"This paper compares two condition-based maintenance policies based on control limit maintenance decision rule. Each considered maintenance policy is adapted to the information collected through on-line monitoring. The concerned system gradually deteriorates and undergoes a change which leads to a sudden increase of its deterioration rate in a life cycle. In this study, a mathematical model is developed in order to assess the interest of change rate monitoring from the maintenance decision making point of view. Hence, the influence of information on the average long-run cost per time unit of the maintained system is investigated. The effectiveness of change mode monitoring is revealed through a numerical application. The obtained results lead to an optimized decision framework for gradually deteriorating systems with abrupt changes of degradation rate.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"61 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":"127378735","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":"Degraded systems with multiple performance parameters subject to shocks","authors":"Chun-yang Li, Xun Chen, X. Yi, J. Tao","doi":"10.1109/RAMS.2010.5447968","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447968","url":null,"abstract":"The performances of some systems contain multiple parameters, and each parameter has a degradation process caused by gradual degradation and random shocks. This paper proposed a procedure to estimate the reliability of these systems. Firstly, the degradation processes are obtained through performance degradation analysis according to the degradation data when random shocks are not considered. Then the degradation processes are modified based on damages caused by random shocks. Eventually, the system reliability is obtained according to the failure threshold value of the system performance. The four figures obtained in the illustrated example show random shocks make the system less reliable, and the system reliability is higher when the degradation processes are dependent.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"37 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":"132169643","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":"Developing effective spare parts estimations results in improved system availability","authors":"B. Ghodrati, D. Banjevic, A. Jardine","doi":"10.1109/RAMS.2010.5447985","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447985","url":null,"abstract":"Production and manufacturing firms are under great pressure to continuously reduce their production costs in order to stay competitive. Industrial operation cost analysis shows that, in general, maintenance represents a significant proportion of the overall operating cost. For instance, the cost of maintenance in the highly mechanized Kiruna underground iron ore mine in Sweden is 30–50% of the total operating cost. Spare parts availability, an issue of the maintenance process, is studied in this paper. Simply stated, production can be enhanced by the increased availability of functional machinery and the subsequent minimization of the total production cost. Spare parts estimation based on machine reliability characteristics and operating environment is a pragmatic method to improve supportability; it can guarantee non-delay in spare parts logistics which can ultimately improve production output. This study uses an improved statistical-reliability (S-R) approach which incorporates system/machine operating environment information in systems reliability analysis. It selects a multiple regression type of analysis based on Cox's proportional hazards modeling (PHM). It considers a parametric approach with a baseline Weibull hazard function and time independent covariates and analyzes the influence of operating environment factors on this model. Based on the results of analyses, a mathematical model for spare parts prediction in component level for non-repairable parts is developed and the findings are validated through a case study in the Swedish mining industry. The study finds that the outputs represent a significant difference in the required spare parts estimation when considering the influence of the system operating environment. The difference is significant in the sense of spare parts forecasting and inventory management; this can enhance the availability of parts and consequently of machines resulting in economical operation and cost savings.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"64 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":"124041129","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":"The Extended Continuous Evaluation reliability growth model","authors":"L. H. Crow","doi":"10.1109/RAMS.2010.5447998","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447998","url":null,"abstract":"In 2007 the Defense Science Board convened a Task Force to investigate and make recommendations on changes that would increase the reliability of military systems. In 2008 a report was issued by the Task Force which gives the Task Force findings and recommendations. The Task Force found that the “lack of continuous RAM improvement during design, and the resulting low initial MTBF and low Growth Potential are the most significant reasons that systems are failing to meet their operational suitability requirements.” In addition, the Task Force recommended that “RAM, to include a robust reliability growth program, be a mandatory contractual requirement and document progress as part of every major program review.” The Task Force also noted that, “More importantly, an operational perspective earlier in the developmental process has often proven to be a catalyst to early identification and correction of problems.” See Ref. 3. As a result of these finding it is clear that reliability growth tests need to be implemented and conducted closer to operational, real-word conditions in order to evaluate and grow the reliability under conditions close to actual use conditions. This is referred to as “Operational-Like” reliability growth test and represents a new direction within the Department of Defense. A structured Operational-Like reliability growth test would be testing conducted in accordance with the Mission Profile Testing methodology presented in Crow Ref. 2. The author, as a member of this Task Force, concurs with these findings and recommendations. This paper presents a model that is design for continuous reliability growth evaluation over a single or multiple test phases. The model has applications to reliability growth testing in general and is particularly appropriate for Operational-Like testing.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"10 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":"124467125","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":"Calculating an appropriate multiplier for ßλ when modeling common cause failure in triplex systems","authors":"J. Bukowski, Rudolph P. Chalupa","doi":"10.1109/RAMS.2010.5447996","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447996","url":null,"abstract":"The Beta Model for common cause failure (CCF) is well accepted and has proven appropriate for dual architecture Safety Instrumented Systems (SIS). However, it is not directly applicable to a triplex architecture SIS. It has been suggested that CCF for a triplex architecture is appropriately modeled by αßλ. This paper derives a, the multiplier for ßλ, required in the evaluation of CCF in triplex systems. It shows that the multiplier, α, varies between 1 and 1.5 as a function of the proportion of CCF which result in all three units of the triplex architecture failing. It further explains why, in the absence of reliable data on the proportion of CCF involving all three units, the most conservative safety evaluation requires setting the multiplier, α, to the value 1.5.","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":"124542593","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":"Development of an acceleration model for subsea pressure","authors":"A. Thiraviam, T. Foley, L. Malone","doi":"10.1109/RAMS.2010.5448030","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448030","url":null,"abstract":"Accelerated Life Testing (ALT) is an effective method of demonstrating and improving product reliability in applications where the products are expected to perform for a long period of time. ALT accelerates a given failure mode by testing at amplified stress level(s) in excess of operational limits. Statistical analysis (parameter estimation) is then performed on the data, based on an acceleration model to make life predictions at use level. The acceleration model thus forms the basis of accelerated life testing methodology. Well established accelerated models such as the Arrhenius model and the Inverse Power Law (IPL) model exist for key stresses such as temperature and voltage. But there are other stresses, failure mechanisms and special cases where there is no clear model of choice. One such scenario is the case where viscoelastic strain due to subsea pressure is the dominant failure mechanism. This paper presents the steps followed in the development of an acceleration model for subsea pressure. Although a final model has not been developed, the data obtained through a series of tests leads to an acceleration model that follows an exponential functional form. The life predictions based on the model also incorporate the use of field data. The test results were based on an accelerated life test performed over a period of one year and also includes several short term progressive stress tests. Further research on the development of the model includes independent testing to verify the true nature of acceleration of life through subsea pressure.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"11 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":"127154859","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":"Potential application of FORM and SORM for PRA","authors":"I. Miller, E. Zampino, S. Pai, V. Nagpal","doi":"10.1109/RAMS.2010.5448004","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448004","url":null,"abstract":"The focus of this paper is two-fold: 1) a discussion of a process by which a probabilistic risk assessments (PRA) system model is used to direct a multi-disciplinary development project. 2) Under this framework, a potential technique for the application of the First-Order Reliability Method (FORM) and Second-Order Reliability Method (SORM) to provide probabilistic failure data for PRA of structural systems. Technique 2) is an elaboration of the analysis techniques described in chapter 14 of [1]. Specifically, the technique relies on the concept of the limit state function in conjunction with varying levels of model fidelity, sound engineering judgment, and expert opinion. This methodology is complementary to the Response Surface Method presented in [2] and is best utilized during the conceptual or preliminary stages of a design project. This technique is beneficial when reliability data is not readily available and/or one is constrained by aggressive development schedules. As the design matures, the events in the system event tree can be systematically re-defined by a process that uses the results of refined physics-based models.","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":"128095480","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}