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2017 Second International Conference on Reliability Systems Engineering (ICRSE)最新文献

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Calculation of operational domain of virtual maintenance based on convex hull algorithm 基于凸包算法的虚拟维修操作域计算
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030789
Yujie Xu, Wenkui Hou
{"title":"Calculation of operational domain of virtual maintenance based on convex hull algorithm","authors":"Yujie Xu, Wenkui Hou","doi":"10.1109/ICRSE.2017.8030789","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030789","url":null,"abstract":"Virtual maintenance based on virtual reality has been developed recent years, yet the relation between qualitative analysis and quantitative analysis has not been built. In this paper, a calculation method of operational domain of virtual maintenance based on convex hull algorithm is proposed. First, a hierarchical skeleton mathematical model based on the physiological characteristics of human skeletal structure is given to digitalize the virtual human body. Second, the motion equation of human posture is built based on the model of skeleton joint chain and the offset matrix of default skeleton posture. Finally, convex hull algorithm is used to calculate the operational domain of virtual maintenance. The proposed method is validated using realtime data collected by the Noitom's motion-capturing device. The experiment result has testified the method can provide an effectively quantitative analysis for operational domain of virtual maintenance.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126135415","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
Dynamic strength reliability analysis of an aircraft fuel pipe system 某型飞机燃油管路系统动强度可靠性分析
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030551
Zijun Zhang, Bingwei Li, Muchun Yu, Yong-shou Liu, Wei Liu
{"title":"Dynamic strength reliability analysis of an aircraft fuel pipe system","authors":"Zijun Zhang, Bingwei Li, Muchun Yu, Yong-shou Liu, Wei Liu","doi":"10.1109/ICRSE.2017.8030551","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030551","url":null,"abstract":"Based on the first-passage failure and the accumulative fatigue damage rule, the dynamic strength reliability and parameter sensitivity of an aircraft fuel pipe system under a random load is discussed in this paper. To calculate the structural dynamic strength reliability, a method which combined the random vibration spectrum analysis, dynamic strength reliability theory and the sensitivity analysis method is proposed. Using the proposed method, the dynamic strength reliability and parameter sensitivity for an aircraft fuel pipe system is carried out. Results show that the proposed method is convenient and effective for the evaluation of the dynamic strength reliability of engineering structures.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121950544","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
Insights into the complexity: A method to manage the complex system by controlling the couplings based on the systemic modeling 复杂性洞察:一种基于系统建模通过控制耦合来管理复杂系统的方法
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030813
Lin Tan, B. Liu, Xing Li, Shunkun Yang, Xianghong Liu
{"title":"Insights into the complexity: A method to manage the complex system by controlling the couplings based on the systemic modeling","authors":"Lin Tan, B. Liu, Xing Li, Shunkun Yang, Xianghong Liu","doi":"10.1109/ICRSE.2017.8030813","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030813","url":null,"abstract":"New forms of complex systems with novel working patterns are emerging in contrast to our ignorance, to some degree, of their internal functioning mechanism. Research should be conducted to make better understandings of these complexity problems. In this paper, we proposed a method to study into the system complexity and to cope with it by controlling the system interactions and couplings based on the systemic modeling. A case study was conducted in which we described the system complexity in terms of interactions and couplings using FRAM. Based on that, the analysis was conducted and the risks of system accident were identified to be the result of the collaboration of function variabilities and the tight-couplings. Measures to control the couplings were suggested accordingly. With the effects of these measures, we could reduce the level of system couplings and manage the system complexity for better controlling.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124751094","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: 2
SOA software architecture extended modeling considering reliability information 考虑可靠性信息的SOA软件体系结构扩展建模
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030794
Hao Zhang, Minyan Lu, Tingyang Gu
{"title":"SOA software architecture extended modeling considering reliability information","authors":"Hao Zhang, Minyan Lu, Tingyang Gu","doi":"10.1109/ICRSE.2017.8030794","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030794","url":null,"abstract":"As for SOA software, architecture based reliability prediction analysis at the early stage of software development can provide useful information to help developers in improving the design quality. Software architecture model is the modeling basis of SOA software reliability prediction, which is one of the essential elements determining the prediction validity and accuracy. In current researches of software architecture modeling, dynamic changes of SOA structure and dynamic nature of services during runtime are not fully considered. In this paper, we proposed an architecture-based SOA software extended modeling method considering reliability information. This proposed model consists of two main parts: static part and dynamic part. Static part is the structural basis of overall model. The dynamic changes of SOA structure and dynamic nature of services are depicted and modeled in the dynamic part. This method is the modeling basis of further SOA software reliability prediction and analysis.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083633","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
Remaining useful life estimation for degrading systems under time-varying operational conditions 时变工况下退化系统的剩余使用寿命估计
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030723
D. Tang, Jinrong Cao, Jinsong Yu
{"title":"Remaining useful life estimation for degrading systems under time-varying operational conditions","authors":"D. Tang, Jinrong Cao, Jinsong Yu","doi":"10.1109/ICRSE.2017.8030723","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030723","url":null,"abstract":"This paper presents a method to estimate the remaining useful life for degrading systems operating under time-varying operational conditions. This method considers a non-monotone degradation process that is significantly affected by stochastically-evolving operational conditions. The failure zone instead of the deterministic failure threshold is used to identify the failures, and different operational conditions may have different failure zones. The method is developed using a semi-Markov decision process framework, and illustrated by the prognostic problem of the 2008 PHM Conference Data Challenge Competition.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127704565","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
A hybrid approach for modeling degradation processes with a degradation free stage 具有无降解阶段的降解过程建模的混合方法
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030734
R. Jiang
{"title":"A hybrid approach for modeling degradation processes with a degradation free stage","authors":"R. Jiang","doi":"10.1109/ICRSE.2017.8030734","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030734","url":null,"abstract":"The delay time model is typically used to optimize an inspection scheme. A challenging issue with this model is that the exact defect initiation time and failure time are often not available. However, it is possible to build a delay time model for the situation where the degradation process has a degradation free stage. In this paper, we develop a hybrid approach to model a delay time model based on a set of incomplete data. The degradation data considered in this paper are obtained through destructive tests. The sample size is small and information is incomplete. A two-step modeling approach is proposed to model the data. In the first step we estimate the degradation initiation time distribution using mean pseudo-initiation time and implicit censoring information; and in the second stage we estimate the failure time distribution based on a non-homogeneous normal process model with a power-law mean value function. Application of the resulting model is also discussed.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126306307","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
Health estimation method of manufacturing systems based on multidimensional state prediction 基于多维状态预测的制造系统健康评估方法
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030726
C. Gu, Yihai He, Xiao Han, Zhaoxiang Chen
{"title":"Health estimation method of manufacturing systems based on multidimensional state prediction","authors":"C. Gu, Yihai He, Xiao Han, Zhaoxiang Chen","doi":"10.1109/ICRSE.2017.8030726","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030726","url":null,"abstract":"Systematic and accurate health estimation for the running manufacturing system is the prerequisite to implement production scheduling and predictive maintenance. This enables remedial actions to be taken in advance and reschedule of production if necessary. However, existing studies pay more attention to the failure diagnosis of equipment, while ignoring the output and input characteristics of the manufacturing system. Therefore, this paper presents a novel method for health estimation of manufacturing systems from three dimensions of equipment performance, product quality and task execution Firstly, the equipment performance state is represented based on the theory of polymorphism. Secondly, the quality state is defined to describe the qualified degree of the output products according to the response model. Thirdly, a task execution state modeling method is proposed, and the correlation between sub-task execution states is considered based on Copula function. Then, an integrated model is built to prognosis the change trend of manufacturing system health by integrating the above three states. Finally, a case study conducted to illustrate the effectiveness of the proposed method.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767231","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: 2
Reliability analysis of complex system based on dynamic fault tree and dynamic Bayesian network 基于动态故障树和动态贝叶斯网络的复杂系统可靠性分析
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030783
Zhiqiang Li, Junyuan Gu, Tingxue Xu, Linyu Fu, Jin An, Qi Dong
{"title":"Reliability analysis of complex system based on dynamic fault tree and dynamic Bayesian network","authors":"Zhiqiang Li, Junyuan Gu, Tingxue Xu, Linyu Fu, Jin An, Qi Dong","doi":"10.1109/ICRSE.2017.8030783","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030783","url":null,"abstract":"Traditional static fault tree analysis is widely used to analyze the reliability of complex systems in different fields. To improve their reliability and availability values of complex redundant systems, lots of dynamic gates are used, such as Priority AND (PAND) Gate, Spare Gate, Sequence Enforcing (SEQ) Gate and Functional Dependency (FDEP) Gate. And dynamic fault tree developed on the basis of Markov chain is applied. In order to reduce calculation and avoid finding minimal cut set, dynamic Bayesian network is introduced. And then methods to convert dynamic fault tree events into corresponding Bayesian network nodes are put forward and conditional probability tables are determined by domain experts and logic relations between nodes. At last, an aviation electric system is taken for example. According to its dynamic fault tree model, dynamic Bayesian network model is established, and expanded from the first time slice to the second time slice. The results show that the reliability of aviation electric system decreases gradually when there is no repair. And it will maintain at a high level when repair measures are taken. Through importance analysis, weak nodes in design are pointed out.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951146","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: 5
Research on fault diagnosis test sequence algorithm based on multi-signal flow graph model 基于多信号流图模型的故障诊断测试序列算法研究
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030553
Lingjie Zhang
{"title":"Research on fault diagnosis test sequence algorithm based on multi-signal flow graph model","authors":"Lingjie Zhang","doi":"10.1109/ICRSE.2017.8030553","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030553","url":null,"abstract":"Fault diagnosis is a binary recognition problem that requires a minimum average cost testing process to distinguish the fault cause. To reduce the computational complexity in fault diagnosis strategy, the combination between Rollout algorithm and information gain under different search width and depth is researched in this paper. The basic analysis and modeling method of multi-signal flow graph model are systematically described. Illustrated by the example of active filter amplifier circuit, modeling the multi-signal flow graph model and establishing the correlation matrix. On the basis of that, we put forward to apply Rollout algorithm, and combine it with information gain heuristic algorithms, to carry out iterative updating to construct the near-optimal diagnosis strategy. This paper takes binary test as an example, the relationship between the diagnosis strategy and the average test cost under different search width and depth combinations is analyzed on the basis of Rollout algorithm.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132339814","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: 2
Software defect prediction based on class-association rules 基于类关联规则的软件缺陷预测
2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030774
Yuanxun Shao, B. Liu, Guoqi Li, Shihai Wang
{"title":"Software defect prediction based on class-association rules","authors":"Yuanxun Shao, B. Liu, Guoqi Li, Shihai Wang","doi":"10.1109/ICRSE.2017.8030774","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030774","url":null,"abstract":"Although there have lots of studies on using static code attributes to identify defective software modules, there still have many challenges. For instance, it is difficult to implement the Apriori-type algorithm to predict defects by learning from an imbalanced dataset. For more accurate and understandable defect prediction, a novel approach based on class-association rules algorithm is proposed. Class-association rules are looked as a separate class label, which is a specific type of association rules that explores the relationship between attributes and categories. In an empirical comparison with four datasets, the novel approach is superior to other four classification techniques and accordingly, proved it's valuable for defect prediction.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128760151","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: 5
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