2017 Second International Conference on Reliability Systems Engineering (ICRSE)最新文献_第4页

A component-based software reliability assessment method considering component effective behavior 一种考虑构件有效行为的基于构件的软件可靠性评估方法

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030748

Dongyi Ling, B. Liu, Shihai Wang

{"title":"A component-based software reliability assessment method considering component effective behavior","authors":"Dongyi Ling, B. Liu, Shihai Wang","doi":"10.1109/ICRSE.2017.8030748","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030748","url":null,"abstract":"The software system is becoming more and more complex, the components can be purchased by the commercial components (Commercial Off-The-Shelf, COTS). At present, this development method is also applied to the aviation field. And the system configuration is an import aspect of Integrated Modular Avionics (IMA) systems. These IMA configuration state are modeled based on ASSAC and ARINC653 standards by using Architecture Analysis Design Language (AADL). The system reliability analysis and assessment work are meaningful for the IMA system in the system design period. For the system is modular, dynamic and integrated, the reliability analysis and assessment method ought to consider these feature. This paper proposes a system dynamic modeling method based on The AADL. Then using a set of model transfer method to transfer the system model to the reliability assessment model. For the component configuration state in the system is dynamic, the paper deduces out a component dynamic effective reliability analysis method, to solve the component and the system reliability assessment problem in the dynamic configure process. Finally, the case study is proposed, to demonstrate the reliability analysis and assessment method.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"52 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":"126776656","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: 4

A human workload monitoring method considering qualitative and quantitative data fusion 一种考虑定性和定量数据融合的人力工作量监测方法

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030742

Xin Lu, S. Zeng, Jianbin Guo, Guo Zhou

{"title":"A human workload monitoring method considering qualitative and quantitative data fusion","authors":"Xin Lu, S. Zeng, Jianbin Guo, Guo Zhou","doi":"10.1109/ICRSE.2017.8030742","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030742","url":null,"abstract":"Nowadays, human workload plays an important role in human machine system's reliability and safety area. No matter in driving, flying or other field, excessive workload may lead to the ignorance of key message, which is of importance in mission accomplishment. Traditional research method uses only these quantitative physiological parameters (such as EEG,EMG or eye movement parameters) to monitor the workload state. Although physiological parameters alone have certain relation with workload degree, it usually cannot reflect the state comprehensively and effectively. In other words, the relation between single parameter and workload is not sufficient. Besides, qualitative parameter like human mood and workload before experiment is another important input parameter that should take account of. In order to deal with the qualitative and quantitative input in the meantime, fuzzy neural network is adopted as a tool to monitor the workload state. At last, experiment's data is utilized to illustrate the effectiveness of above-mentioned method compared with either physiological parameter or eyes movement parameter.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"73 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":"124030197","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

Development of CBR system for embedded purpose 嵌入式CBR系统的开发

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030785

Zefei Lan, Haibin Yuan

引用次数: 0

A heuristic application model of maintainability design criteria 可维护性设计准则的启发式应用模型

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030766

Chunhui Guo, C. Lv, Yu Xiao

{"title":"A heuristic application model of maintainability design criteria","authors":"Chunhui Guo, C. Lv, Yu Xiao","doi":"10.1109/ICRSE.2017.8030766","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030766","url":null,"abstract":"Maintainability design criteria is the final performance of maintainability and is the best and most direct basis for designers to consider maintainability, whose application degree directly determine the level of product maintainability. However, the current design system and maintainability design criteria's characteristics lead to that maintainability design criteria's operability is not strong. Then maintainability level reflected by the products is not very high, thus causing difficulties in servicing the product later and spending so much in maintainability. This paper aims at solving this problem by a heuristic application model of maintainability design criteria. Firstly, facing the current situation, in conjunction with the specific product, named battery of vehicles typical system, a series of special maintainability design criteria are developed by function configuration and maintainability issue analysis. Secondly, association analysis between maintainability design criteria and design features is developed. Finally, referring to problems booting method of intelligent reasoning, this paper constructs the heuristic application model of maintainability design criteria. The model ultimately makes maintainability design criteria's heuristic application true and provides an effective design method for the designers.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"55 3 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":"116568474","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

Reliability prediction based on Brownian motion with extended degradation rate 基于扩展退化率布朗运动的可靠性预测

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030810

Xuepeng Jiang, Bei Hong, Dengjia Fang

引用次数: 0

A new CBDD model for deterministic competing failure analysis 确定性竞争失效分析的新CBDD模型

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030727

Chaonan Wang, L. Xing, Yujie Wang

{"title":"A new CBDD model for deterministic competing failure analysis","authors":"Chaonan Wang, L. Xing, Yujie Wang","doi":"10.1109/ICRSE.2017.8030727","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030727","url":null,"abstract":"A propagated failure from a system component not only causes the component itself to malfunction, but also affects other system components. However, in systems with the functional dependence behavior, the failure propagation from a dependent component could be isolated if the corresponding trigger component fails first; otherwise the failure propagation effect still takes place causing extensive damage to the entire system. Such a deterministic competition between failure propagation and failure isolation effects poses a great challenge to system reliability analysis. In this work, a new combinatorial model called competing binary decision diagram (CBDD) is explored for the reliability analysis of systems subject to the deterministic competing failure behavior. In particular, special Boolean algebra and manipulation rules are developed for system CBDD model generation. The corresponding evaluation algorithm for the constructed CBDD model is also proposed. The CBDD method has no limitation on the type of component time-to-failure distributions. An illustrative example is provided to demonstrate applications of the proposed model and algorithms.","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":"134143619","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 prediction for polymer processing rheometer considering the cognitive load 考虑认知负荷的聚合物加工流变仪可靠性预测

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030780

W. Hou, Jing Yao, Yongming Liu

引用次数: 0

Reliability of wireless sensor networks subject to phase-dependent probabilistic competing failures 相位相关概率竞争故障下无线传感器网络的可靠性

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030753

Yujie Wang, L. Xing

{"title":"Reliability of wireless sensor networks subject to phase-dependent probabilistic competing failures","authors":"Yujie Wang, L. Xing","doi":"10.1109/ICRSE.2017.8030753","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030753","url":null,"abstract":"This paper considers phase-dependent probabilistic failure competitions in reliability analysis of wireless sensor network (WSN) applications. Particularly, a WSN can experience probabilistic functional dependence (PFD) behavior where operations of some sensors (referred to as probabilistic-dependent components) rely on functions of relay nodes (referred to as trigger components) with certain probabilities. Failure competitions exist in the time-domain between the local failure (e.g., transmission unit failure) of a relay node and propagated failures of its dependent sensors (e.g., jamming attacks), causing distinct system statuses. Further, a WSN may be subject to phased-mission requirements, incurring dynamics in system configuration and component failure behavior, as well as statistical dependencies across phases for a given component, which makes the reliability analysis more challenging. This paper models effects of phase-dependent probabilistic competing failures, and suggests a multi-valued decision diagram (MDD) based combinatorial procedure for reliability analysis of non-repairable WSN systems. The proposed method is applicable to arbitrary types of time-to-failure distributions for WSN components and probabilistic isolation factors. A case study of a WSN system for lab condition monitoring is presented to illustrate application and advantages of the proposed method.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"51 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":"121346091","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

Analysis of cascading failure of circuit systems based on load-capacity model of complex network 基于复杂网络负载容量模型的电路系统级联故障分析

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030769

Youjiang Fan, Yang Cheng, Yunxia Chen, Yi Yang

引用次数: 4

A review for customized extended warranty policies 对定制延保政策的审查

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030773

C. Su, Jiabin Zhao

引用次数: 2