{"title":"Reliability modeling that combines Markov analysis and Weibull distributions","authors":"A. Jackson","doi":"10.1109/RAMS.2013.6517742","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517742","url":null,"abstract":"When systems possess components with wearout failure characteristics or non-constant hazard rates and in standby redundancy configurations, the most common method currently utilized in industry for handling the reliability predictions of such systems is based on Monte Carlo Simulations. Monte Carlo Simulations are relatively easy to develop, but accuracy of the approximations that are produced dependents on the number of simulation trials selected. To obtain high accuracy for moderately complex system reliability models, Monte Carlo Simulation based system reliability models need to be run for large numbers of trials, in many cases greater than 10,000 trials, to achieve accuracy to the 4th or 5th decimal, which is sometimes required for Department of Defense (DoD) contracts in the aerospace industry. Markov Analysis is an alternate approach for modeling system reliability, which produces higher accuracy results than Monte Carlo Simulation based modeling, and requires fewer iterations.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599208","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 criticality analysis methods to influence RCM","authors":"Z. Johnson","doi":"10.1109/RAMS.2013.6517699","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517699","url":null,"abstract":"Before an organization can implement Reliability Centered Maintenance (RCM), a document called a Failure Modes Effects and Criticality Analysis (FMECA) is performed to help identify parts that get put on the Critical Items List (CIL). The primary goal of the FMECA is to produce a CIL while also providing a thorough understanding of the failure behavior of a system. When engineers talk about FMECAs, it's fairly common for each person involved to conjure his or her own concept of what a FMECA is. Experienced reliability engineers will tell you that not all FMECAs are done the same way or to the same level of detail. Organizations usually have specific purposes for their FMECAs other than a CIL, and a CIL can be generated by other means such as safety related analyses. Sometimes FMECAs are used to track the failure behavior of a system or to influence maintenance manuals. Though these shouldn't be the primary reasons for putting together FMECAs, they sometimes are. In any case, RCM cannot be appropriately implemented without FMECAs being performed on essential components to influence the Critical Items List.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"113 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123502891","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 business case for reliability and warranty costs","authors":"V. Loll","doi":"10.1109/RAMS.2013.6517686","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517686","url":null,"abstract":"A simulation model has been developed using an Excell sheet. It allows a company to simulate a number of different strategies concerning reliability, quality and warranty costs and quickly see the effect. For training it is possible to have teams compete against each other in a simulated market. The model is illustrated by an example comparing 3 different project plans. Companies can modify the simulation tool to fit their reliability and warranty cost structure depending on their main business parameters and market conditions.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013886","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}
P. Beaumont, F. Guérin, P. Lantiéri, M. Facchinetti, G. M. Borret
{"title":"Accelerated Fatigue Tests for reliability estimation of chassis parts","authors":"P. Beaumont, F. Guérin, P. Lantiéri, M. Facchinetti, G. M. Borret","doi":"10.1109/RAMS.2013.6517717","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517717","url":null,"abstract":"In order to assess the fatigue strength, the StairCase method is extensively applied, thanks to its independence from physical parameters and because of it provides reliable results using few parts, thus involving low testing time. Nevertheless, the Dixon &Mood (D&M) estimation of StairCase results does not always permit to obtain a reliable estimation of the scatter parameter for the fatigue strength (section 3.1), which is an essential feature for the overall failure risk management. Moreover, we even search for a more reliable mean estimation. The likelihood estimation, used in the Maximum Likelihood Estimation of the fatigue limit (MLE) (.3.2) and in Accelerated Life Testing estimation of the number of cycles to failure (ALT) (3.3), includes hypothesis on the mechanical acceleration model but leads to obtain good estimations of each parameter included in the method. We saw that for large sample we found a good estimation with all the methods: both D&M and MLE approaches give good estimations of the fatigue strength distribution, and the ALT approach gives a good estimation of the number of cycles to failure distribution. For small samples, i.e. the most common situation in the industry, we have found, on average, a good estimation of the mean, both on the fatigue strength's mean and on the number of cycles to failure's mean. But best estimations are found by MLE or ALT method. For the standard deviation estimation it is clear that the D&M estimation cannot be applied to small samples. For MLE estimation we have many outliers which may be removed by analyzing special cases giving those values.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420165","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":"Rotor fault diagnosis for machinery fault simulator under varied loads","authors":"Zhiqiang Cai, Shudong Sun, Shubin Si, Wenbin Zhang","doi":"10.1109/RAMS.2013.6517706","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517706","url":null,"abstract":"Machine fault diagnosis is a field of mechanical engineering concerned with finding faults arising in machines. In this paper, we use the Bayesian network (BN) classifiers and data mining technology to diagnose different kinds of rotor faults in machinery fault simulator (MFS) under varied loads. First of all, three kinds of popular BN classifiers are introduced as the diagnosis model for rotor fault, and the fault diagnosis modeling methods based on BN classifiers is established by data mining. Then, a MFS is introduced and applied to generate the vibration data of system with different rotor faults under varied loads, as dataset 1, dataset 2 and dataset 3. At last, the dataset 1 generated by MFS is used to demonstrate the rotor fault diagnosis process with BN classifiers. The same procedures are also implemented for dataset 2 and dataset 3 to show the difference of diagnosis results under varied loads.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128582392","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":"Bridging software and hardware FMEA in complex systems","authors":"N. Ozarin","doi":"10.1109/RAMS.2013.6517739","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517739","url":null,"abstract":"When complex software-controlled systems are subject to both software and hardware FMEA, conclusions are often incorrect in areas where software and hardware failures affect each other. These analysis errors occur because software specialists generally do not analyze hardware and hardware specialists generally do not analyze software, a situation that often leads them to use educated guesses when determining system-level effects in such crossovers. Sometimes a particular failure mode is assessed as part of hardware FMEA and a similar failure mode is independently assessed as part of software FMEA, causing duplication of effort and the strong possibility of two different conclusions. Fortunately, a structured approach to planning and execution of FMEA of complex software/hardware systems, with ground rules and guidelines focused on software/hardware crossover, can make the analysis more efficient, thorough and correct. The approach improves upon the traditional FMEA process.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128947333","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}
D. Ayadi, L. Azzabi, A. Kobi, K. Bachar, C. Robledo
{"title":"A multicriteria failure mode and effects analysis approach for optimizing human safety","authors":"D. Ayadi, L. Azzabi, A. Kobi, K. Bachar, C. Robledo","doi":"10.1109/RAMS.2013.6517664","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517664","url":null,"abstract":"The human operator as the basic postulate of events appearance of catastrophes and failures; however issuing finders of diverse currents have to apply different methods to minimize risks of human errors, some have used combined methods taking counts him personals factors and engineering, others himself are supported on estimations probabilities to calculate trials of workers.. Moreover, it is through this synergy that members can achieve better results than they could achieve individually. For all these reasons, many research works have been undertaken to improve the functioning and performance groups in solving a decision problem.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128902700","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":"DFR, moving from 4 traditional to 33 innovative ways to improve reliability","authors":"H. C. Cooper","doi":"10.1109/RAMS.2013.6517674","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517674","url":null,"abstract":"The reliability and Design for Reliability (DFR) guidelines, discussed are based on established design principles and rapid innovation methods for failure avoidance. These guidelines can move you, your design team and your organization from one which simply tracks, charts, and reports reliability, to one that engages meaningful Design for Reliability (DFR) activities and initiates powerful but inexpensive corrective actions; resulting in maximum equipment availability and reliability. Your organization can thus be one that achieves and exceeds reliability requirements and improves product image and sales, due to a product reputation for reliability and quality.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315307","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":"Prognostics for electronic components","authors":"H. Hecht","doi":"10.1109/RAMS.2013.6517743","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517743","url":null,"abstract":"The paper emphasizes prognostics that are derived from data currently available within or from electronic components, thus avoiding the need for additional sensors and extensive physical modification of systems and permitting immediate savings to be realized. Areas where this approach is particularly suitable include: semiconductor memories; data communications; initialization procedures; and feedback control loops. The melding of the empirical methodology addressed here with the more comprehensive physics of failure based approach is anticipated.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"33 7-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123341291","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":"Application of the R&M Case process for a UK Armoured Fighting vehicle programme","authors":"S. Crosby, J. Irvine","doi":"10.1109/RAMS.2013.6517754","DOIUrl":"https://doi.org/10.1109/RAMS.2013.6517754","url":null,"abstract":"This paper provides a study of the practical application of the Reliability and Maintainability (R&M) Case process on the UK Scout Specialist Vehicles (SV) programme. Scout SV is a UK Ministry of Defence (MoD) procurement programme to deliver a Medium Weight Armoured Reconnaissance capability to the British Army. High levels of Availability/Reliability are considered to be essential for Armoured Fighting Vehicles (AFVs) and reliability is a key system requirement for the Scout Manned Reconnaissance capability which often operates far from any support. There are numerous factors that present significant challenges to the achievement of reliability on the Scout SV project. The demanding functional requirements necessitate a complex design with reliance upon the integration of many subsystems with a mixture of development and off-the-shelf equipment/software. The programme is based upon the best of breed subsystems which has led to a multinational design and delivery organisation each with their differing approaches to R&M. Usual constraints with MoD procurement projects impact on the effort that can be applied to achieve the requirements, e.g. one off projects, small production quantities, costs and time constraints, etc.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121820320","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}