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2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)最新文献

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Study on optimal inventory strategy for worn spare parts on the Chinese space station 中国空间站易损件最优库存策略研究
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050065
Xinian Jia, Jia-Chun Shi, Gong Wang, Mengying Zhang
{"title":"Study on optimal inventory strategy for worn spare parts on the Chinese space station","authors":"Xinian Jia, Jia-Chun Shi, Gong Wang, Mengying Zhang","doi":"10.1109/ICRMS.2016.8050065","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050065","url":null,"abstract":"The demand for spare parts on the Chinese Space Station is always uncertain, meaning that an inventory for parts is difficult to confirm. A key problem on the space station is how to minimize the expected backorder number with limited resources. In this paper, a multi-ECHELON inventory model for worn spare parts based on the METRIC (Multi-ECHELON technology for recoverable items control) model was proposed to solve this problem. First, the principle of the METRIC model was analyzed and some of the hypotheses of the traditional METRIC model were adapted to form a new METRIC model known as GENE-METRIC Next, the marginal analysis method was applied to find the optimal position and number of spare parts needed. Finally, a numerical example was given to illustrate the use of the new GENE-METRIC model. The paper argued that the new GENE-METRIC model could provide a quantifiable approach to confirm the stock level of worn spare parts and could therefore be used to inventory and allocate the worn spare parts as needed for the Chinese Space Station.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128693541","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
Analysis of reliability growth model of domestic large thermal power unit 国内大型火电机组可靠性增长模型分析
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050137
W. Zhao, Pengzhang Liu, Guangchun Zhou
{"title":"Analysis of reliability growth model of domestic large thermal power unit","authors":"W. Zhao, Pengzhang Liu, Guangchun Zhou","doi":"10.1109/ICRMS.2016.8050137","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050137","url":null,"abstract":"In this paper propose a method for determining the reliability parameters of repairable large thermal power units. The Weibull distribution model is applied to estimate the reliability parameters of Chinese-built 300 and 600-MW thermal power units. An analysis of both the FEMA fault and reliability growth models for the two thermal power units, is conducted to reveal the relationship between the increase in reliability and design improvements made after the elimination of defects. In addition, we compare the Chinese and American reliability growth models.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115028027","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
A non-invasive framework for XML data binding 用于XML数据绑定的非侵入性框架
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050160
Xinglin Zhu, Jiaju Wu, Tianyong Qi, Li-rong Meng
{"title":"A non-invasive framework for XML data binding","authors":"Xinglin Zhu, Jiaju Wu, Tianyong Qi, Li-rong Meng","doi":"10.1109/ICRMS.2016.8050160","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050160","url":null,"abstract":"The requirements of data exchange, with XML as the main format, use structural-centric and object-centric data binding frameworks. Through analysis of the current data binding framework, we present a data-centric XML binding framework in order to establish interfaces between relational databases and XML files. This framework solves the problems of generating large amounts of temporary Java code or producing complex XML schema files. The functions of marshalling and unmarshalling meditate the conversion between relational databases and XML files. In this model, objects and files are completely decoupled. Therefore, it implements a non-invasive from of data binding.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678112","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
New forecasting method of closing time for aerospace relay in storage accelerated degradation testing 航天继电器贮存加速退化试验合闸时间预测新方法
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050118
Zhao-Bin Wang, Sai Fu, Shang Shang, Wenhua Chen
{"title":"New forecasting method of closing time for aerospace relay in storage accelerated degradation testing","authors":"Zhao-Bin Wang, Sai Fu, Shang Shang, Wenhua Chen","doi":"10.1109/ICRMS.2016.8050118","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050118","url":null,"abstract":"Space relays are affected by many nonlinear elements during storage, and the reason for predicting time series is to achieve nonlinear mapping. Combining artificial neural networks and grey system theory, we built a grey artificial neural network (GANN) model. The model effectively combined the characteristics of artificial-neural-network nonlinear adaptability and the characteristics of grey theory weakening data sequence volatility integration. We predicted the degradation value of the closing time of measured data in a relay accelerated storage test by using a variety of grey models and GANN models. By comparing several forecasting methods, the results showed the proposed grey neural network model has higher precision and is more accurate than a single grey model. The method also provides new ideas and methods for the life prediction of relay storage acceleration tests.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132528807","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: 6
Fault location method of complex software based on community mining 基于群体挖掘的复杂软件故障定位方法
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050150
Rui Li, Minyan Lu, Qian Ye
{"title":"Fault location method of complex software based on community mining","authors":"Rui Li, Minyan Lu, Qian Ye","doi":"10.1109/ICRMS.2016.8050150","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050150","url":null,"abstract":"The explosion by amount of codes as well as the swelling logic complexity have stifled the performance of the traditional fault-location methods since the resource adopted during this process is unacceptable. Under such a situation, a scheme to locate the faults in complex software more effectively has been proposed in this paper based on networks community theory. First, on the base of establishing the dependency network of every module in software, dependency relationships between various community blocks can be obtained by applying clustering algorithms to mine the community structure. Second, with status reports generated by monitoring-codes planted into the center node of every community, we can distinguish whether communities work in a normal way, thus the fault searching area can be shrunk smaller by repeating the steps above. Third, once the searching area has been shrunk to several modules, the traditional methods like Tarantula is eligible for finding the fault since the number of suspected codes has been compressed to an acceptable level. At last, the experiment by applying the method we come up has been conducted and the statistic has been collected as well as analyzed to compare with the main-trend solutions, during which the speed superiorities and acceptable accuracy of our method have been confirmed.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131578535","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 degradation monitoring of CNC machine tools based on the SPC method with the Metropolis-Hastings algorithm 基于Metropolis-Hastings算法的SPC方法的数控机床可靠性退化监测
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050081
Xuejiao Du, Fei Chen, Zhaojun Yang, Binbin Xu, Weizheng Chen, Xiaoxu Li
{"title":"Reliability degradation monitoring of CNC machine tools based on the SPC method with the Metropolis-Hastings algorithm","authors":"Xuejiao Du, Fei Chen, Zhaojun Yang, Binbin Xu, Weizheng Chen, Xiaoxu Li","doi":"10.1109/ICRMS.2016.8050081","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050081","url":null,"abstract":"After the random failure period, CNC machine tools will enter the wear-out failure period as a result of abrasion, fatigue and aging. Therefore, it is extremely important to monitor the changing trend of operation state and thus to construct rational maintenance policy or determine when to scrap it. In this paper, the mean time between failures (MTBF) is chosen to be the characteristic variable of reliability degradation and is estimated from a Weibull process model. A statistical process control (SPC) chart is then developed using the Metropolis-Hastings (MH) algorithm for condition monitoring. The availability and sensitivity of the proposed method are illustrated through analyzing the field data of a CNC machining center.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863879","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
An improved AGREE method with reliability mathematical model for complex system importance degree computation 基于可靠性数学模型的复杂系统重要度计算改进AGREE方法
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050166
Xin He, Yufeng Sun, Yaqiu Li
{"title":"An improved AGREE method with reliability mathematical model for complex system importance degree computation","authors":"Xin He, Yufeng Sun, Yaqiu Li","doi":"10.1109/ICRMS.2016.8050166","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050166","url":null,"abstract":"During the system design process, there are numerous factors that should be taken into account to incorporate reliability requirements into subsystems. The AGREE method is one of the most applicable methods to achieve system reliability allocation. However, when applied to some complex systems, this traditional method may become invalid. Firstly, the allocation results may become distorted and a computation method for the degree of importance is not proposed. Generally, this method can be only used for systems in series or parallel. To address these issues, the traditional AGREE allocation method needs to be modified. This paper proposes a novel degree computational method for complex system allocation whereby the traditional AGREE method is integrated with a mathematical model of system reliability. A framework for the new reliability allocation method is described. In practice, this novel method is used for the reliability allocation of a ship power system. A sensitivity analysis was conducted across several design requirements. The allocation results were verified, demonstrating the use in practical applications.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132714009","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
Reliability-centered optimal design method for flight vehicle control system 以可靠性为中心的飞行器控制系统优化设计方法
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050056
Shangping Kong, Hairui Zhang, X. Liao, Dongpao Hong
{"title":"Reliability-centered optimal design method for flight vehicle control system","authors":"Shangping Kong, Hairui Zhang, X. Liao, Dongpao Hong","doi":"10.1109/ICRMS.2016.8050056","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050056","url":null,"abstract":"With the dominant emergence of hi-tech and the great diversification of flight vehicle's mission requirements, a more reliable control system is needed to face the complex missions and environment. To meet these requirements, a reliability-centered optimal design method for flight vehicle control system is put forward by integrating the reliability analysis into function and performance design. An air based flight vehicle is taken as an application example to illustrate the design method. The mission profile is firstly analyzed based on the mission requirements and the function demands are proposed as the design constraints. Based on this, the failure mode and effect analysis (FMEA) method is introduced and used to identify the weak links in the system. According to the result of FMEA, an improved design scheme is proposed and proved to be effective in practice. It illustrates that the reliability-centered optimal design method can effectively improve the reliability level of the flight vehicle while ensuring that the functions and performance meet the requirements.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770854","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
Quality entropy model of the numerical control manufacturing process 数控制造过程的质量熵模型
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050101
Yubing Huang, W. Dai, Yongjiao Chi, Yu Zhao
{"title":"Quality entropy model of the numerical control manufacturing process","authors":"Yubing Huang, W. Dai, Yongjiao Chi, Yu Zhao","doi":"10.1109/ICRMS.2016.8050101","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050101","url":null,"abstract":"During the numerical control manufacturing process, the operational path and process parameters were defined, however, the various kinds of manufacturing factors were still generating great uncertainties. In this paper, the quality entropy model of the manufacturing process is put for word to analyze the uncertainty factors on the products of NC machining. The entropy theory combined with information entropy and quality entropy concept was proposed to model the quality entropy of the manufacturing process. The manufacturing factors, including hardware equipment, operator, environment deviation and rejection rate which influence the product quality are given, and the criterion and method determining the corresponding uncertainty state are given, and the quality entropy algorithm of the manufacturing process and the influence degree of each uncertainty are given. And the case study is analyzed and the quality entropy of manufacturing process is calculated.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124886705","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
Bayesian reliability assessment for high-value pyrotechnics systems based on inheritance factor 基于遗传因子的高值烟火系统贝叶斯可靠性评估
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI: 10.1109/ICRMS.2016.8050061
Xiaoyu Yang, Yuquan Wen, Hai-ping Dong, Qihai Liang, Bin Qin, X. Yi
{"title":"Bayesian reliability assessment for high-value pyrotechnics systems based on inheritance factor","authors":"Xiaoyu Yang, Yuquan Wen, Hai-ping Dong, Qihai Liang, Bin Qin, X. Yi","doi":"10.1109/ICRMS.2016.8050061","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050061","url":null,"abstract":"A Bayesian reliability assessment method for pyrotechnics systems based on the inheritance factor is proposed to solve the problem of reliability assessment of high-value pyrotechnics systems with small samples. In this method, the test data of a pyrotechnics system and its components are combined to assess the reliability of the pyrotechnics system, and the inheritance factor is adopted to describe the similarity between the test data of the pyrotechnics system and its components. With the new method, the evaluated reliability of a pyrotechnics system reaches 0.9901 under the confidence level 0.90. The result shows that the new method is more rational than the classical method and the traditional Bayesian method, and it is feasible to use the new method to evaluate the reliability of pyrotechnics systems.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380625","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
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