2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)最新文献_第8页

Probability of failure of safety-critical systems subject to partial tests 经过部分测试的安全关键系统失效的概率

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447972

F. Brissaud, A. Barros, C. Bérenguer

{"title":"Probability of failure of safety-critical systems subject to partial tests","authors":"F. Brissaud, A. Barros, C. Bérenguer","doi":"10.1109/RAMS.2010.5447972","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447972","url":null,"abstract":"A set of general formulas is proposed for the probability of failure on demand (PFD) assessment of MooN architecture (i.e. k-out-of-n) systems subject to proof tests. The proof tests can be partial or full. The partial tests (e.g. visual inspections, partial stroke testing) are able to detect only some system failures and leave the others latent, whereas the full tests refer to overhauls which restore the system to an as good as new condition. Partial tests may occur at different time instants (periodic or not), up to the full test. The system performances which are investigated are the system availability according to time, the PFD average in each partial test time interval, and the total PFD average calculated on the full test time interval. Following the given expressions, parameter estimations are proposed to assess the system failure rates and the partial test effectiveness according to feedback data from previous test policies. Subsequently, an optimization of the partial test strategy is presented. In the 2oo6 system given as example, an improvement of about 10% of the total PFD average has been obtained, just by a better (non-periodic) distribution of the same number of partial tests, in the full test time interval.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"31 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":"128081540","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: 9

A neural network approach for remaining useful life prediction utilizing both failure and suspension data 利用失效和悬架数据进行剩余使用寿命预测的神经网络方法

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447975

Zhigang Tian

{"title":"A neural network approach for remaining useful life prediction utilizing both failure and suspension data","authors":"Zhigang Tian","doi":"10.1109/RAMS.2010.5447975","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5447975","url":null,"abstract":"Artificial neural network (ANN) methods have shown great promise in achieving more accurate equipment remaining useful life prediction. However, most reported ANN methods only utilize condition monitoring data from failure histories, and ignore data obtained from suspension histories in which equipments are taken out of service before they fail. Suspension history condition monitoring data contains useful information revealing the degradation of equipment, and will help to achieve more accurate remaining useful life prediction if properly used, particularly when there are very limited failure histories, which is the case in many applications. In this paper, we develop an ANN approach utilizing both failure and suspension condition monitoring histories. The ANN model uses age and condition monitoring data as inputs and the life percentage as output. For each suspension history, the optimal predicted life is determined which can minimize the validation mean square error in the training process using the suspension history and the failure histories. Then the ANN is trained using the failure histories and all the suspension histories with the obtained optimal predicted life values, and the trained ANN can be used for remaining useful life prediction of other equipments. The key idea behind this approach is that the underlying relationship between the inputs and output of ANN is the same for all failure and suspension histories, and thus the optimal life for a suspension history is the one resulting in the lowest ANN validation error. The proposed approach is validated using vibration monitoring data collected from pump bearings in the field.","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":"117000993","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

The application of CREAM based on HAZOP analysis in using process of system 基于HAZOP分析的CREAM在系统使用过程中的应用

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447991

W. Wang, T. Zhao

引用次数: 2

Applications of modeling and simulations with probabilistic method to predict reliability at high confidence level 概率方法在高置信度可靠性预测中的应用

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448008

R. Kanapady, R. Adib

引用次数: 2

Transcending performability for system attributes' consistency 超越系统属性一致性的性能

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5447984

Meng-Lai Yin, R. Arellano

引用次数: 0

Reduced Bias Factor Distribution to reduce the likelihood estimate bias of small sample sizes 减少偏倚因子分布，以减少小样本量的似然估计偏差

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448021

Moshe Felix Barmoav

{"title":"Reduced Bias Factor Distribution to reduce the likelihood estimate bias of small sample sizes","authors":"Moshe Felix Barmoav","doi":"10.1109/RAMS.2010.5448021","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448021","url":null,"abstract":"A new method is developed by the author to reduce the bias of the maximum likelihood estimates (MLE) with small sample sizes. The new method is based on a special case of the Fréchet distribution. The special case of the Fréchet distribution is now referred as the “New Distribution” in this article and/or the “Reduce Bias Factor” Distribution. The cumulative distribution function (CDF) of the “New Distribution” is the factor that decreases the bias in distribution parameter estimates to improve data analysis and reliability/lifetime prediction accuracy when using maximum likelihood estimates (MLE) particularly for small sample sizes. The new distribution is very flexible and versatile with two parameters, i.e. Scale and Shape to fit for relevant scenarios. This function support any life distributions such as Weibull, Normal, Log Normal and or others distributions as needed. The new distribution is capable of describing most of the correction factor formulas among them the well known correction factors such as the C4 for Normal and Log Normal Distributions Sigma by William Gossett (Refs. 1, 2, and 3), who was the Chief Brewmaster for the Guinness Breweries. William Gossett also invented the Monte Carlo simulation method for statistical distribution analysis. Dr. Robert B. Abernethy used Monte Carlo later to develop corrections for the Weibull MLE Median and Mean Beta approximately C4^3.5 and C4^6 respectively, see (Refs. 1, 2, and 3). Extensive Monte Carlo simulations and transposed linear regressions by the author provide the basis for the conclusions in this paper. The results herein apply to complete samples starting from, but not limited to, Beta values of 0.5 up to Beta value of 10 with 1200 sets of samples of 2 up to 300. The author is using the new method to reduce the MLE bias with censored data, never the less the author does encourage additional research into censored data.","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":"125989543","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

Risk assessment in research projects 研究项目的风险评估

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448039

R. Schmidt

引用次数: 5

Optimization of multi-state elements replacement policy for multi-state systems 多状态系统的多状态元件替换策略优化

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448061

Yu Liu, Hongzhong Huang

引用次数: 16

Redundancy optimization problem with warm-standby redundancy 热备冗余的冗余优化问题

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448068

S. Amari, G. Dill

{"title":"Redundancy optimization problem with warm-standby redundancy","authors":"S. Amari, G. Dill","doi":"10.1109/RAMS.2010.5448068","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448068","url":null,"abstract":"This paper describes and demonstrates a solution methodology that determines optimal design configurations that maximize the reliability of a wide range of non-repairable systems. The problem formulation considers the generic case of warm-standby redundancy and extends state-of-the-art reliability optimization techniques in several dimensions: (1) non-constant component hazard functions, (2) warm standby components including cold and hot standby situations, (3) imperfect switches, (4) k-out-of-n redundancy structures, (5) multiple component choices, and (6) redundancy strategy choices. The problem involves selection of components, redundancy strategies, and redundancy levels to maximize system reliability subject to constraints. Optimal solutions are determined based on an equivalent binary integer programming formulation. Compared to other available methods, the proposed methodology more accurately models many engineering design problems with both active and standby redundancies. Previously, it has been difficult to determine optimal solutions for this class of problems or to calculate system reliability efficiently. The methodology is successfully demonstrated on a large problem with 14 subsystems with arbitrary failure distributions.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"65 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":"133292035","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: 62

Increasing the reliability of a self-optimizing railway guidance system 提高铁路自优化导向系统的可靠性

2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2010-04-15 DOI: 10.1109/RAMS.2010.5448080

Christoph Sondermann-Wolke, J. Geisler, W. Sextro

{"title":"Increasing the reliability of a self-optimizing railway guidance system","authors":"Christoph Sondermann-Wolke, J. Geisler, W. Sextro","doi":"10.1109/RAMS.2010.5448080","DOIUrl":"https://doi.org/10.1109/RAMS.2010.5448080","url":null,"abstract":"Recent advances in information processing enable new kinds of technical systems, called self-optimizing systems. These systems are able to adapt their objectives and their behavior according to the current situation and influences autonomously. This behavior adaptation is non-deterministic and hence self-optimization is a risk to the system, e.g. if the result of the self-optimization process does not match the suddenly changed situation. In contrary, self-optimization could be used to increase the dependability by pursuing objectives like reliability and availability. In our preceding publications we introduced the so called multi-level dependability concept to cope with this new kind of systems (cf. [6]). This concept comprises the monitoring of the system behavior, the classification of the current situation, and the selection of the appropriate measure, if reliability limits are exceeded. In this paper we present for the first time experimental results. The dependability concept is implemented in the self-optimizing active guidance system of a railway vehicle. The test drives illustrate clearly that the proposed concept is able to cope with, e.g., sensor failures, and is able to increase the reliability and availability of the active guidance module.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"17 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":"131739190","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