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

An original approach to constructing test model for IMA blueprints 为IMA蓝图构建测试模型的一种新颖方法

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030721

Jiapan Fu, Shihai Wang, B. Liu

{"title":"An original approach to constructing test model for IMA blueprints","authors":"Jiapan Fu, Shihai Wang, B. Liu","doi":"10.1109/ICRSE.2017.8030721","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030721","url":null,"abstract":"The system configuration is an import aspect of Integrated Modular Avionics systems. These IMA blueprints are configured based on ASSAC and ARINC653 standards by analyzing all the requirements. Application requirements, such as required memory, communication, period, deadline and execution time, are stipulated in the blueprint. Hardware resources are also described in the blueprint. Moreover, the mapping of the application software onto the underlying hardware resource also on the blueprint. There are a lot of non- functional logical constraints in the blueprint configuration information. Previously, the analysis of the blueprint configuration information is mainly to ensure that the system functions properly. However, as a safety-critical system, IMA blueprints also need non-functional constraints testing. In this paper, we focus on the IMA blueprint and present an original approach to the construction of the test model. To build IMA blueprint model, we describe the configuration information by using ARINC653 Annex. An improved time automaton model is used as a test model for IMA system characteristics. The test model is a system environment model that can be used for generating the specific test sequence based on the non-functional logical constraints.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129891879","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

Non-safety-related software in the context of railway RAMS standards 铁路RAMS标准中的非安全相关软件

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030718

Yin Chen

引用次数: 3

Health state modeling for complex manufacturing system based on RQR chain and Hidden Markov Model 基于RQR链和隐马尔可夫模型的复杂制造系统健康状态建模

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030729

Zhaoxiang Chen, Yihai He, Xiao Han, C. Gu

{"title":"Health state modeling for complex manufacturing system based on RQR chain and Hidden Markov Model","authors":"Zhaoxiang Chen, Yihai He, Xiao Han, C. Gu","doi":"10.1109/ICRSE.2017.8030729","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030729","url":null,"abstract":"With the advent of Industry 4.0, the structure and function of the manufacturing system are becoming more and more complicated. Fault diagnosis and health management with predictive ability are the prerequisite for the effective and intelligent operation of the manufacturing system. Different from previous studies about the Prognostics and Health Management are always confined to the static modeling of the basic reliability of system components, a novel approach based on the big operational data and Hidden Markov Model is proposed in this paper. Firstly, the RQR chain is proposed to organize the big operational data, which includes the manufacturing system reliability (R) data, manufacturing process quality (Q) data and the produced product reliability (R) data. Secondly, a new concept of the health state of the manufacturing system is presented to highlight the operational performance of the production task. Thirdly, evolution of the key quality characteristics is adopted to fuse the big operational data, and the Hidden Markov Model (HMM) is used to model the health state of manufacturing systems. Finally, a case study of a manufacturing system for cylinder head is carried out to verify the effectiveness of the proposed approach. The final result shows that the proposed model has favorable dynamic modeling and prognostication capabilities.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121725917","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

Effect of structural design of hyperbolic wire spring connector on reliability of electrical contacts 双曲线弹簧连接器结构设计对电触点可靠性的影响

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030730

Yilin Zhou, Lin Guan, Nan Tian

引用次数: 1

Does the Chinese airline network become more robust over time? 随着时间的推移，中国的航空网络是否会变得更加强大?

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030725

Xiaoqian Sun, S. Wandelt

{"title":"Does the Chinese airline network become more robust over time?","authors":"Xiaoqian Sun, S. Wandelt","doi":"10.1109/ICRSE.2017.8030725","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030725","url":null,"abstract":"Currently, China has the fastest growing air transportation market in the world. Resilience to external events is critical to ensure an efficient and reliable transportation of passengers. This study investigates the robustness of the Chinese airline network under disruptions at their critical airports as well as the evolution of the networks' robustness from the year 2010 to 2015. Among the 24 Chinese airline networks in our study, we find that the topological properties of the networks differ significantly for these airlines. Each airline has its own few dominating hubs, where the number of hubs varies among airlines. Analysis of the robustness for the 24 Chinese airline networks show that they are quite robust against random failures, but the networks disintegrate quickly under targeted attacks. Evolutionary analysis of the robustness on a monthly resolution from 2010 to 2015 showed that the robustness does not change significantly over time for individual airline network, although the robustness measure R values vary for different airlines. This shows that the ongoing efforts to increase the resilience should be adjusted to better meet future needs for more reliable transportation. Our work contributes to a better understanding of the Chinese air transportation systems.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133127381","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

Research on physics-of-failure model for electromigration damage accumulation under multi-level stress profile based on accelerated factor 基于加速因子的多级应力剖面电迁移损伤累积失效物理模型研究

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030728

B. Wan, Guicui Fu, Yanruoyue Li

引用次数: 0

IMA dynamic reconfiguration modeling and resource criticality analysis based on Petri net 基于Petri网的IMA动态重构建模与资源临界性分析

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030732

Z. Ye, Shihai Wang, T. Zhao

{"title":"IMA dynamic reconfiguration modeling and resource criticality analysis based on Petri net","authors":"Z. Ye, Shihai Wang, T. Zhao","doi":"10.1109/ICRSE.2017.8030732","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030732","url":null,"abstract":"Integrated Modular Avionics (IMA) system is becoming more complex because of the integration of system functions. However, the highly coupled modules result in a dramatic increase in the complexity of the system, which will cause safety issues due to the complex interactions. The dynamic reconfiguration of IMA system can make the aircraft execute the functions without landing, and recover from the fault quickly. However, the dynamic reconfiguration process is more prone to bringing about safety problems because of the dynamic resource configuration changes. Due to the complexity of the system, it is hard to find out which step of the dynamic reconfiguration process appears error with the resource call. In this paper, analysis on resource criticality is applied. First, the dynamic reconfiguration process is divided into a certain number of tasks. According to the resource that is needed to perform each task, then the key resources is determined for the completion of the task. The system is modeled with AADL and translated into Petri net. The resource's criticality calculation of the IMA dynamic reconfiguration process is established. It can be a great use in analyzing the safety and reliability of dynamic reconfiguration, to identify the exact location of the problem during the resource call.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115813031","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

Real-time knowledge discovery from public data of Internet to improve decision-making of Autonomous Vehicles 从互联网公共数据中实时发现知识，提高自动驾驶汽车的决策能力

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-10 DOI: 10.1109/ICRSE.2017.8030771

Meng Liu, Guoqi Li, B. Liu

引用次数: 1

Failure rate prediction based on AR model and residual correction 基于AR模型和残差校正的故障率预测

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030786

Qin Wang, Haibin Yuan

引用次数: 6

Non - destructive leakage detection of ship pipeline based on dynamic pressure signals 基于动压信号的船舶管道泄漏无损检测

2017 Second International Conference on Reliability Systems Engineering (ICRSE) Pub Date : 2017-07-01 DOI: 10.1109/ICRSE.2017.8030772

Shuochen Wu, Bai Liu, Fei Li, Zijian Liu

引用次数: 1