2017 Second International Conference on Reliability Systems Engineering (ICRSE)最新文献_第2页

Resilience-based optimization of recovery strategies for network systems 基于弹性的网络系统恢复策略优化

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030738

Xing Pan, Yanjing Yang, Guozhong Zhang, Bozi Zhang

引用次数: 1

Statistical Process Control in Fused Deposition Modeling based on Tanimoto similarity of uniform surface images of product 基于产品均匀表面图像谷本相似度的熔融沉积建模统计过程控制

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030806

Shan-Wen Wang, Tingting Huang, Tao Hou

引用次数: 4

Research on influencing factors of manufacturing process based on DEMATEL and entropy method 基于DEMATEL和熵的制造过程影响因素研究

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030737

Zhijun Xu, Yanguang Hu, Xiangkun Liu, Yingjie Ren, Tingfo Gao

引用次数: 0

A robustness optimization method of network based on load entropy 一种基于负荷熵的网络鲁棒性优化方法

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030812

Du Liu, Yi Ren, Dezhen Yang

引用次数: 1

Multi-resolution modeling and application for complex system analysis based on design structure matrix 基于设计结构矩阵的复杂系统多分辨率建模及应用

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030801

Yi-fan Xu, J. Lv, Zhenyu Lian, Guangqiang Wang

引用次数: 1

Reliability modeling of two-phase inverse Gaussian degradation process 两相逆高斯退化过程的可靠性建模

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030736

Fengjun Duan, G. Wang

引用次数: 2

Civil aircraft IVHM system analysis using model based system engineering 基于模型的系统工程的民机IVHM系统分析

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030800

Shuo Chang, Yi Wang

{"title":"Civil aircraft IVHM system analysis using model based system engineering","authors":"Shuo Chang, Yi Wang","doi":"10.1109/ICRSE.2017.8030800","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030800","url":null,"abstract":"Health management system is a relatively new system formed in recent decades compare to other traditional systems in an aircraft. It comprises by onboard part and off board part with a series of systems contribute to the same health management function. Yet it expands rapidly with the evolution of enable technology. Integrated vehicle health management (IVHM) is an emerging concept which try to integrate the former separated health management related equipment and product. For such a new system in forming, there is a good chance to apply system engineering method in defining the system functions, architecture and capture system requirements. With few endeavor put in this area, system engineering could better illustrate the word integrate in IVHM concept. One step more, model based system engineering transforms system engineering as the world enter industrial 4.0 age. This paper introduces application of model based system engineering in designing health management system for civil aircraft. A functional analysis and requirement capture process is described using SysML diagram. Every use case for health management function will be expanded into activity diagram/sequence diagram/state machine diagram to capture system functional and non-functional requirements. With this top down process, the analysis can be independent from system already on board. This process helps keep traceability of requirements and better understand the working scenario of aircraft health management system. A health management system then modeled using this process. The modelling mainly helps system concept formulation and evaluation, system architecture design and requirements flow down as well as clarify the future development of IVHM concept on civil aircraft.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 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":"130479852","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

A demonstration of build-in test design verification for a typical avionic power circuit using Matlab Stateflow 利用Matlab Stateflow对典型航空电子电源电路进行了内建测试设计验证

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030797

Junyou Shi, Wenzhe Li, Xuhao Guo

引用次数: 2

Failure evolution analysis for complex human-machine system: A case for nuclear power system 复杂人机系统的失效演化分析:以核电系统为例

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030717

Wenjing Bi, Qiang Feng, K. Qi, Bo Sun, Yi Ren

{"title":"Failure evolution analysis for complex human-machine system: A case for nuclear power system","authors":"Wenjing Bi, Qiang Feng, K. Qi, Bo Sun, Yi Ren","doi":"10.1109/ICRSE.2017.8030717","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030717","url":null,"abstract":"Mission failure evolution is a unique aspect of complex human-machine system (CHMS), which contains failure regularity and directs emergent reconfiguration measures. Oriented to all varieties of system components, an analysis of how the parts are connected and contribute to CHMS failure is necessary. Prior work paid more attention to system design with the law of system normal operation, where a single function failure was identified positively and its consequence was analyzed to guarantee reliability and safety. In this paper, a normally operational CHMS process is divided into three layers which contains task, element and capacity as well as the conceptions of Basic Task Space (BTS) and Repair Task Space (RTS). The measurement method of these three aspects was defined. Furthermore, CHMS failure measurement will be presented with the parameters of capacity deviation. Taking multiple elements coordination and self-organization into consideration, a multi-agent based simulation approach of system failure evolution path is proposed. This method is demonstrated with the nuclear power system intending to interpret how the system fails to deal with all possible disturbance. Obvious results show that the multiple failure paths can be obtained, from which the writer provides some constructive comments for system design.","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":"126774346","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

A new bandwidth allocation strategy considering the network applications 一种考虑网络应用的带宽分配策略

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030807

Biwei Li, N. Huang, Lina Sun, Shigang Yin

{"title":"A new bandwidth allocation strategy considering the network applications","authors":"Biwei Li, N. Huang, Lina Sun, Shigang Yin","doi":"10.1109/ICRSE.2017.8030807","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030807","url":null,"abstract":"Resource competition, a serious problem in many actual networks, largely influence the network performance and may lead to network congestion. The allocation of link's bandwidth resource is a key process to relieve the situation. Researchers have put forward some strategies to improve the network capacity. They thought that the allocation strategies were determined by the importance of each link which was described by the link's betweenness or node's degree. However, the structure of network cannot describe accurately the traffic distribution. In this paper, we attempt to concern the applications, which affect the traffic distribution, to investigate a new bandwidth allocation strategy. We firstly consider three kinds of application process to define the importance of each link, and based on the importance of each link an allocation formula is presented. Then an optimal model aiming at network average delay is proposed and we also obtain the optimal solution. Finally, simulation results show the lower average delay when the proposed bandwidth allocation strategy compared to the average bandwidth allocation strategy, the degree-based bandwidth allocation strategy and the betweenness-based strategy. This strategy conforms to the practical applications especially the communication networks as well as transport networks, so it can provide an idea for the service providers to design or optimize the networks.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"50 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":"126914059","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