{"title":"Cascading failure of interdependent networks with traffic: Using a redundancy design to protect influential nodes","authors":"Lijun Liu, Yongfeng Yin, Zenghu Zhang","doi":"10.1109/ICRMS.2016.8050087","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050087","url":null,"abstract":"With the rapid development of technology, several infrastructure networks are often coupled together and thus need to be modeled as interdependent networks. Because of potential overloads, interdependent networks are more fragile when suffering from attacks. Existing studies have primarily concentrated on the cascading failure process of interdependent networks without load, or the robustness of isolated network with traffic. Only limited research have been done on the cascading failure process caused by overload in interdependent networks. Redundancy is a primary design approach that can enhance the reliability and robustness of the system. In this paper, we propose a method that adds redundant design for the influential nodes in interdependent networks with traffic to suppress overloading. First, a detailed model with a redundant design and redundant level is introduced. Three strategies (Random, Degree and Betweenness) based on the potential knowledge of network centrality can be used to identify the influential nodes of networks. Then, two indicators are presented to evaluate the robustness of interdependent networks. Lastly, we analyze the common effects between the coupling strength and the redundancy on the invulnerability of interdependent networks. Experiments on two interdependent networks demonstrate that with a suitable coupling attributes (strength and preference) and a higher degree of redundancy, an interdependent network is more robust under random attacks. The results suggest that such a redundant design can permit construction of highly robust interactive networked systems.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121299689","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}
Yang Xue, Penghe Zhang, Xingang Du, Chuning Peng, Yuhan Zou, Jiahai Zhang
{"title":"Research on failure mechanisms of domestic intelligent electric energy meters","authors":"Yang Xue, Penghe Zhang, Xingang Du, Chuning Peng, Yuhan Zou, Jiahai Zhang","doi":"10.1109/ICRMS.2016.8050167","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050167","url":null,"abstract":"Based on the repair records of malfunctioning electric energy meters in each province in China and using repair diagnoses, this article classifies failures by functional modules and analyzes failures under each type of malfunction. The focus is on the mode of failure and mechanism of the components and parts and on finding out the environmental stress that caused the failure, suggesting corresponding improvement measures for each link in the design and manufacturing of electric energy meters.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117116300","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}
Xiaopeng Li, Hongzhong Huang, Wenming Zhou, Fuqiu Li
{"title":"A new technology framework for the reliability assessment and life prediction of a satellite power subsystem","authors":"Xiaopeng Li, Hongzhong Huang, Wenming Zhou, Fuqiu Li","doi":"10.1109/ICRMS.2016.8050049","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050049","url":null,"abstract":"The power subsystem is one of the most important subsystems of a satellite. This subsystem, supplies the power for the satellite platform and payloads, and ensures the smooth completion of the satellite mission. An accurate reliability assessment and life prediction results provide useful information to for satellite development. This paper takes chooses a sample earth observation satellite's power subsystem for example, and proposes a new reliability assessment and life prediction technology framework. First, the reliability data of the subsystem components (-including the cd-ni battery, lithium-ion battery, solar cell array, and Power controllers) collected. Secondly, the CMSR — (Combined Modified Maximum Likelihood Estimation and Sequential Reduction (CMSR) method is used to determine the subsystem's reliability function according to the components' reliability data. The evaluate the reliability point estimation and reliability at the end of life are evaluated under some a Specified specific confidence level. Third, the (Mean Mission Duration Time (MMDT) of the subsystem calculated based on its reliability function. Through all the work above, the designer of the subsystem can test if the subsystem reliability level satisfies the design requirements. At the same time, the orbital life of the subsystem can be predicted before the satellite launches. Further — more, the reliability assessment, and life prediction results, and technology framework of the power subsystem can form the foundation of research into satellite reliability and life assurance.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586246","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}
{"title":"Study on optimization of backward compatible reflow soldering process","authors":"Y. Zou, Weiming Li, Hongqin Wang, D. Luo","doi":"10.1109/ICRMS.2016.8050161","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050161","url":null,"abstract":"Due to the promotion of the globalization of environmental protection process, some high reliability requirements of electronic products have to be passive to the backward compatible soldering process. Compared to the traditional Sn-Pb soldering process, the backward compatible soldering process has to face with a smaller process window and a higher process implementation difficulty. In this paper, the technical characteristics of backward compatible reflow soldering process are studied, and the basic idea for process optimization is presented. In view of a typical product, based on the failure mechanism of product history and the present situation of reflow-soldering process, the design and implementation of the reflow soldering process optimization experiment is carried out, and the optimized process curve is obtained. The optimized results show that the quality and reliability of the optimized products meet the requirements of the investigated product.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132207501","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}
Qingfeng Du, Kangin Yin, J. Qiu, Huan Li, Kun Shi, Yue Tian, Aoyu Ma
{"title":"Test case design method targeting environmental fault tolerance for high availability clusters","authors":"Qingfeng Du, Kangin Yin, J. Qiu, Huan Li, Kun Shi, Yue Tian, Aoyu Ma","doi":"10.1109/ICRMS.2016.8050033","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050033","url":null,"abstract":"With increasing critical business organizations focusing on the quality of service in cloud applications, high availability (HA) has become critical for the product level cluster of cloud applications. Existing availability evaluation methods or testing projects for cloud platforms, however, cannot sufficiently verify cluster tolerance to various reasonable environmental faults. This paper proposes a test case design method targeting environmental fault tolerance for HA clusters. Test cases are designed considering fault modes and components of a cluster application in diverse scenarios. As a result, the fault tolerance of different components to various reasonable faults can be verified via the proposed method. A case study is conducted on Openstack, a widely used open source software platform for cloud environments, to show the feasibility of using this method.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130642987","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}
{"title":"Reliability assessment of ZPW-2000A track circuit using Bayesian network","authors":"Leiying Jiang, Xiaoming Wang, Yiliu Liu","doi":"10.1109/ICRMS.2016.8050083","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050083","url":null,"abstract":"Nowadays, railway systems are expected to have high reliability, availability, maintainability, and safety. Thousands of ZPW-2000A track circuits are in operation on the mainline and high-speed railway network in China. This paper presents a scheme for reliability assessment of ZPW-2000A track circuit using Bayesian network. First, a fault tree is built based on expert experience and failure investigation. Then, fault tree model of the ZPW-2000A track circuit is converted into Bayesian network. Finally, quantitative analysis based on the Bayesian network is performed, including forward analysis and backward analysis, to calculate the system reliability and recognize vulnerabilities in the system. The validity of the proposed method is fundamental and meaningful for the real-time reliability assessment and condition based maintenance of ZPW-2000A track circuit.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121813996","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}
{"title":"AHP based evaluation method for technology readiness level of DC-DC converter","authors":"Jiaoying Huang, Xubo Lv, Cheng Gao","doi":"10.1109/ICRMS.2016.8050054","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050054","url":null,"abstract":"DC-DC converter is an electronic circuit that converts a source of direct current (DC) from one voltage level to another. It's widely used because of its short design period and high reliability. It is very important to evaluate technology readiness level (TRL) of DC-DC converter accurately. In this paper, Analytic hierarchy process (AHP) based evaluation method is proposed to calculate TRL value of DC-DC converter. A hierarchy model of objective remaining to be evaluated needs to be developed in the beginning. The structure of model is divided into three layers respectively called objective layer, criteria layer and alterative layer. Objective layer consists of the device itself and comprises several criterions such as technology, material, design and manufacturing. The third layer includes all concerning specific elements. Then, assign weight value for each criterion and construct normalized pairwise comparison matrix. Maximum eigenvalue and corresponding eigenvector is calculated by mathematical method for further consistency examination, which ensures the reliability of decision maker. Finally, TRL of the device can be calculated as 0.93 according to known TRL value of each element of it. The result shows that TRL of DC-DC converter is more than 0.9, which means it is in the condition of high maturity and is suitable for large-scale application.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116893971","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}
{"title":"Research of aircraft equipment cabin layout optimization methods based on virtual maintenance","authors":"Long Xue, Dong Zhou, Wenqiang Zhou","doi":"10.1109/ICRMS.2016.8050037","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050037","url":null,"abstract":"Aircraft equipment cabin layout design is an important part of aircraft design. It refers to the reasonable arrangement of each piece of equipment and component in a limited space. Currently, aircraft equipment cabin maintenance difficulties are common, time-consuming, uneconomical, and are serious maintenance problems. In order to improve the accuracy and quality of maintenance design, a virtual maintainability design method is proposed, using DELMIA as a tool to build the virtual environment, which can be used to verify and improve maintainability. The maintenance visibility, accessibility, operating space, and working gesture are treated as objective functions. The functional constraints and aircraft equipment cabin layout rules are also considered, and are formulated as constraints. Thus, a combination algorithm model for maintainability is presented. According to the characteristics of the equipment layout problem, a modified particle swarm is used to improve the computational efficiency and solution accuracy. Finally, the application of a fighter electronic cabin is studied in detail to illustrate the effectiveness and usefulness of the proposed method. The results show that virtual maintainability design can be implemented to solve the layout optimization problem.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127128550","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}
{"title":"Diagnostic ability validation methods for prognostics and health management systems in complex systems","authors":"Yi Du, Chengjun Song, F. Su, Zhilin Wang","doi":"10.1109/ICRMS.2016.8050040","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050040","url":null,"abstract":"PHM (Prognostics and Health Management) is a key technology in autonomic logistics equipment. It is also the newest development in the current equipment system, BIT (Built-In Test), because of its condition monitoring abilities. PHM technology marks a transformation from condition monitoring to health management. The PHM design philosophy has also been adopted in the development of new generation military and civilian equipment. In the complex systems of military and civilian equipment, such as electromechanical systems and flight control systems, the PHM design has been adopted as a new function design. The diagnostic capabilities of PHM are its core foundation, and its design level has a direct influence on the overall efficiency of PHM. This influence is mainly reflected in its fault detection capabilities, and its comprehensive processing and analysis capabilities. In order to validate the PHM fault diagnostic design level, we propose a new diagnostic capability validation method for complex systems. Our proposed method is based on testability validation technology, and provides a guideline for technological approaches for PHM diagnostic validation that evaluates the integrity, rationality, and effectiveness of PHM diagnostic capabilities. Moreover, our proposed method can expose design defects and weak links, allowing for an iterative optimal design.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248562","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}
{"title":"Research method for determining preventive maintenance period based on time stress factors","authors":"Xing Jin, Yan Zhou, Zhaoyang Zeng, B. Liu","doi":"10.1109/ICRMS.2016.8050131","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050131","url":null,"abstract":"Determining the time interval for preventive maintenance is one of the most important duties in programming maintenance guides. The purpose of planning the time interval is to keep and restore the reliability of equipment, which means selecting the suitable interval to avoid failures before they occur. Existing methods of determining a fixed-time interval always ignore influences such as cumulative failure, overhaul, and repair, which could cause insufficient maintenance or surplus inspection. Therefore, making full use of preventative maintenance is a matter of being able to arrange the time interval introduced by time stress factors that could reflect the effect of cumulative failure, repair, overhaul, etc. By extending or shortening the time interval according to the specific circumstances of equipment, a modified method of time-interval determination is proposed and verified.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130429448","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}