Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030721
Jiapan Fu, Shihai Wang, B. Liu
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.
{"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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030718
Yin Chen
This paper considers the up-to-date railway RAMS (Reliability, Availability, Maintainability, and Safety) standards, i.e. EN 5012X series and FprEN 50657, and provides an overview of different definitions and requirements upon non-safety-related software in the context of those standards.
{"title":"Non-safety-related software in the context of railway RAMS standards","authors":"Yin Chen","doi":"10.1109/ICRSE.2017.8030718","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030718","url":null,"abstract":"This paper considers the up-to-date railway RAMS (Reliability, Availability, Maintainability, and Safety) standards, i.e. EN 5012X series and FprEN 50657, and provides an overview of different definitions and requirements upon non-safety-related software in the context of those standards.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"44 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":"115834980","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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030725
Xiaoqian Sun, S. Wandelt
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.
{"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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030729
Zhaoxiang Chen, Yihai He, Xiao Han, C. Gu
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.
{"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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030730
Yilin Zhou, Lin Guan, Nan Tian
Hyperbolic wire spring connectors have been widely used in some systems with high reliability requirements. The contact force is a key point to keep reliable electric contact. In this paper, firstly the range of contact force of existing hyperbolic wire spring connector was calculated by both the theory of mechanics of materials and finite element analysis. Then the allowed extreme contact forces which fulfills the requirements of contact resistance and deformation performance of the hyperbolic wire spring connector was also calculated. Finally, the contact reliability of the hyperbolic wire spring connectors was assessed by the contact force of existing connector and the allowed extreme contact force.
{"title":"Effect of structural design of hyperbolic wire spring connector on reliability of electrical contacts","authors":"Yilin Zhou, Lin Guan, Nan Tian","doi":"10.1109/ICRSE.2017.8030730","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030730","url":null,"abstract":"Hyperbolic wire spring connectors have been widely used in some systems with high reliability requirements. The contact force is a key point to keep reliable electric contact. In this paper, firstly the range of contact force of existing hyperbolic wire spring connector was calculated by both the theory of mechanics of materials and finite element analysis. Then the allowed extreme contact forces which fulfills the requirements of contact resistance and deformation performance of the hyperbolic wire spring connector was also calculated. Finally, the contact reliability of the hyperbolic wire spring connectors was assessed by the contact force of existing connector and the allowed extreme contact force.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 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":"130570517","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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030728
B. Wan, Guicui Fu, Yanruoyue Li
The problem which is paid attention in this paper is that existing physics-of-failure model cannot input and calculate complex multi-level stress environmental profile when making simulating calculation of microelectronic devices' using reliability. A physical model for electro-migration failure is analyzed as an example. We make cumulative calculation and improvement using theory of accelerated factor, and the general function of physics-of-failure model for electro-migration damage accumulation under multi-level stress profile is set up. This model can achieve simulation and prediction of cycle time before failure under multi-level stress profile. At the end of this paper, an instance of multi-level stress profile's calculation is provided.
{"title":"Research on physics-of-failure model for electromigration damage accumulation under multi-level stress profile based on accelerated factor","authors":"B. Wan, Guicui Fu, Yanruoyue Li","doi":"10.1109/ICRSE.2017.8030728","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030728","url":null,"abstract":"The problem which is paid attention in this paper is that existing physics-of-failure model cannot input and calculate complex multi-level stress environmental profile when making simulating calculation of microelectronic devices' using reliability. A physical model for electro-migration failure is analyzed as an example. We make cumulative calculation and improvement using theory of accelerated factor, and the general function of physics-of-failure model for electro-migration damage accumulation under multi-level stress profile is set up. This model can achieve simulation and prediction of cycle time before failure under multi-level stress profile. At the end of this paper, an instance of multi-level stress profile's calculation is provided.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 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":"126292155","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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030732
Z. Ye, Shihai Wang, T. Zhao
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.
{"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}
Pub Date : 2017-07-10DOI: 10.1109/ICRSE.2017.8030771
Meng Liu, Guoqi Li, B. Liu
with the help of the base installations of network services, mobile networks and pervasive computing, numerous real-time data information of external environment is available from the Internet and is valuable for autonomous vehicles to improve decision-making. Accordingly, in this paper, an approach is provided to collect useful data from the Internet and discover knowledge from these data. The paper introduces the principles and procedures of the approach detailedly. The approach is featured with low cost, easy deployment and can be widely used in many kinds of autonomous vehicles.
{"title":"Real-time knowledge discovery from public data of Internet to improve decision-making of Autonomous Vehicles","authors":"Meng Liu, Guoqi Li, B. Liu","doi":"10.1109/ICRSE.2017.8030771","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030771","url":null,"abstract":"with the help of the base installations of network services, mobile networks and pervasive computing, numerous real-time data information of external environment is available from the Internet and is valuable for autonomous vehicles to improve decision-making. Accordingly, in this paper, an approach is provided to collect useful data from the Internet and discover knowledge from these data. The paper introduces the principles and procedures of the approach detailedly. The approach is featured with low cost, easy deployment and can be widely used in many kinds of autonomous vehicles.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"48 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":"114582134","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}
Pub Date : 2017-07-01DOI: 10.1109/ICRSE.2017.8030786
Qin Wang, Haibin Yuan
Based on the study of advantages and disadvantages of the traditional AR model (autoregressive model) and the characteristics of failure rate prediction, an AR model based on neural network residual correction is proposed in this paper. The basic idea is to establish the AR model first to obtain the residual sequence, and next construct the neural network residual prediction model using the residual sequence, and then correct the predicted value of the original AR model using the residual value predicted by the model. The combined model is used to predict the failure rate of a kind of Boeing aircraft. It is proved that this model is suitable for short-term failure rate prediction, and the accuracy of the prediction results is better than that of the single AR model.
{"title":"Failure rate prediction based on AR model and residual correction","authors":"Qin Wang, Haibin Yuan","doi":"10.1109/ICRSE.2017.8030786","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030786","url":null,"abstract":"Based on the study of advantages and disadvantages of the traditional AR model (autoregressive model) and the characteristics of failure rate prediction, an AR model based on neural network residual correction is proposed in this paper. The basic idea is to establish the AR model first to obtain the residual sequence, and next construct the neural network residual prediction model using the residual sequence, and then correct the predicted value of the original AR model using the residual value predicted by the model. The combined model is used to predict the failure rate of a kind of Boeing aircraft. It is proved that this model is suitable for short-term failure rate prediction, and the accuracy of the prediction results is better than that of the single AR model.","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":"121004254","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}
Pub Date : 2017-07-01DOI: 10.1109/ICRSE.2017.8030772
Shuochen Wu, Bai Liu, Fei Li, Zijian Liu
In this paper, a non-destructive leak detection method for ship fluid pipelines is proposed by the means of piezoelectric sensors. The advantages and disadvantages of existing pipeline leakage detection are compared and the working principle of pipeline leak detection based on piezoelectric dynamic pressure transmitter is introduced. The frequency and domain characteristics of the pipeline leakage signal based on the piezoelectric dynamic pressure transmitter are analyzed and the corresponding detection and positioning methods are given as well. Practical applications show that this method can quickly and accurately determine whether a leak occurred and calculate the leak location.
{"title":"Non - destructive leakage detection of ship pipeline based on dynamic pressure signals","authors":"Shuochen Wu, Bai Liu, Fei Li, Zijian Liu","doi":"10.1109/ICRSE.2017.8030772","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030772","url":null,"abstract":"In this paper, a non-destructive leak detection method for ship fluid pipelines is proposed by the means of piezoelectric sensors. The advantages and disadvantages of existing pipeline leakage detection are compared and the working principle of pipeline leak detection based on piezoelectric dynamic pressure transmitter is introduced. The frequency and domain characteristics of the pipeline leakage signal based on the piezoelectric dynamic pressure transmitter are analyzed and the corresponding detection and positioning methods are given as well. Practical applications show that this method can quickly and accurately determine whether a leak occurred and calculate the leak location.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"19 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":"127487194","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}
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