{"title":"Research on imperfect preventive maintenance strategy for turret system of the CNC lathe","authors":"Fei Chen, Heng Zhang, Binbin Xu, Xiaojuan Chen, Zhaojun Yang, Yifeng Ye, Qunya Xie","doi":"10.1109/ICRMS.2016.8050075","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050075","url":null,"abstract":"The turret system is one of the key functional components of the CNC lathe. Therefore it is important that the reliability of the turret system is optimised. In this paper, an imperfect preventive maintenance strategy, based on the Weibull distribution, for the turret system of the CNC lathe is proposed. The restoration and failure intensity increase factors are consistent with a uniform distribution. However, the cost of preventive maintenance increases with the preventive maintenance frequency being increased. Then maintenance time should also be considered. A flexible preventive maintenance model is described in this paper. The aim is to minimize the total maintenance cost overall. The preventive maintenance interval of the model was calculated using the limited reliability value, in order to find the optimal flexible preventive maintenance strategy. Finally, the optimal preventive maintenance results under different cost parameters are discussed.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"3 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":"115303963","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":"Fuzzy fault tree theory-based fault search strategy research for FAST hydraulic actuators","authors":"Ming-Ming Zhu, Lei Yang, Zheng Lei, Yong Wang","doi":"10.1109/ICRMS.2016.8050047","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050047","url":null,"abstract":"As the active mechanism of the main reflector system for a Five Hundred Meter Aperture Spherical Radio Telescope (FAST), the reliable operation of 2225 hydraulic actuators is the basis of normal observation for the telescope. The purpose of this research is to find the right fault search strategy for these hydraulic actuators. According to the characteristics of hydraulic systems, this study proposes a fault search strategy analysis method based on fuzzy fault tree theory. Considering the maintenance factors of hydraulic actuators, such as the searching cost, the failure probability and the degree of influence, the optimal search strategy model for fault diagnosing of hydraulic actuators is established. The multi objective optimization decision theory and sequential decision theory are also applied in this model. Finally, the fault search order for FAST hydraulic actuators is calculated. The top three fault search components are motor, controller and hydraulic control check valve. The calculated results are in agreement with the reliability test results and Failure Mode Effects and Criticality Analysis (FMECA) of hydraulic actuators. This study has guiding significance for the maintenance of the hydraulic actuators for FAST.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"12 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":"121346717","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":"Partitioning strategy based on safety in integrated modular avionics","authors":"Dalin Shen, Xiaohong Bao, T. Zhao, Pengtao Zhao","doi":"10.1109/ICRMS.2016.8050066","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050066","url":null,"abstract":"Integrated Modular Avionics, which has replaced traditional federal architecture, is now widely used in the aircraft. Robust partitioning is adopted by new architecture to cope with the failure propagation due to resource sharing. However, if the activity of allocating applications to partitions doesn't consider the common cause failure and coupling relations among avionic functions, it can intensify the failure propagation. At present, a lot of researches take into account the application software's functionality and criticality in the software configuration activities, but not include other factors which are also indispensable. In this paper, we proposed a partitioning method from the safety perspective. Firstly, we identified the process of allocating applications to partitions from the partitioning configuration activities referred to Do-297 and built the partitioned system model. Three safety factors which should be satisfied by the process were introduced. Then, we presented the safety constraints based on the safety factors. Finally, we proposed the partitioning strategy on the basic of safety constraints and partitioned system model. This partitioning strategy will be the theoretical basis for the scientific partitioning method in future and ensure the implementation of robust partitioning in Integrated Modular Avionics.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"56 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":"126674736","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":"Transformation rules from AADL to improved colored GSPN for integrated modular avionics","authors":"Rongbin Han, Shihai Wang","doi":"10.1109/ICRMS.2016.8050088","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050088","url":null,"abstract":"Although integrated modular avionics (IMA) provides many advantages such as the reduced weight and higher efficiency for system operations, safety problems with correlations of system states come up due to its resource sharing mechanism. Correlations of system states contribute to the fault propagation in IMA systems. In other words, when a shared resource goes into an error state, components which have access to that resource may work in a failed state. Additionally, this process is dynamic during the system running. Model-based method is an adequate approach to analyzing system safety dynamically with correlations of system states. Architecture Analysis and Design Language (AADL) has advantage to model for embedded systems. However, it is quite limited to employ AADL dynamically for analyzing system safety. This paper seeks to translate the AADL models into improved colored GSPN models, which have advantage to simulate with system run-time properties such as time and event occurrence probabilities as well as other properties of system components. Furthermore, the paper focuses on this transformation process without any loss of key modeling elements including those properties mentioned above. Based on this work, subsequent analysis can be conducted. A case study is provided for indicating the application of these transformation rules.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"42 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":"131274585","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":"Storage reliability assessment for electromechanical components with small sampling based on prior information prediction","authors":"X. Ye, Yigang Lin, Rao Fu, Bokai Zheng, G. Zhai","doi":"10.1109/ICRMS.2016.8050069","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050069","url":null,"abstract":"The storage reliability of electromechanical products such as relays and contactors, which are widely used in the aerospace and military fields, will directly affect the performance of the systems in which they are used. For the existing problem of storage reliability assessment for small samples of aerospace relays and other electromechanical products produced on a small scale, a particle filter and Bayesian theory based storage reliability evaluation method is proposed. Firstly, with the application of a particle filter, the distribution of the degradation model parameters is estimated by combining the initial distribution of degradation parameters with actual degradation data to predict the distribution of the degradation data for each test time. Secondly, we consider the predicted distribution to be prior information, then calculate the prior estimation of degradation data distribution hyper-parameters within the constraints of reliability distribution function information entropy maximization. Then we fuse the tested degradation data from the samples with the Bayesian formula to compute the posterior estimation of the hyper-parameters. After that, we obtain the interval estimation of storage reliability by solving a non-central t distribution. Finally, a specific aerospace electromagnetic relay was taken as an example to illustrate the method in detail and verify the effectiveness of the proposed method.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"45 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":"130627269","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":"Satellite lifetime prediction with random failure","authors":"Haitao Zhao, Hui Yang, Xiao Xiong","doi":"10.1109/ICRMS.2016.8050129","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050129","url":null,"abstract":"The remaining life prediction of the satellite is of great significance in the operation of the satellite and the maintenance strategy of the constellation. The existing life prediction methods only consider the propellant consumption, thus a new dynamic life prediction method considering not only consumption but also random failure and degradation is proposed in this paper. Firstly, the failure characteristics of the satellite are analyzed, and then the satellite life model is established which contains three kinds of mechanisms including random failure, degradation and consumption. Secondly, according to current satellite operation data and Monte Carlo simulation model, the satellite remaining life is obtained through the comparison of the different lifetime determined by each mechanism. Finally, in a case study, the remaining life of 5 satellites on orbit is analyzed. The analysis results show that this new method is more accurate and credible.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":"42 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":"131843190","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}
Dao Zhong, Jing Feng, Quan Sun, Zhengqiang Pan, N. Yang
{"title":"Maintenance request prediction for airplanes based on multivariate damage model","authors":"Dao Zhong, Jing Feng, Quan Sun, Zhengqiang Pan, N. Yang","doi":"10.1109/ICRMS.2016.8050059","DOIUrl":"https://doi.org/10.1109/ICRMS.2016.8050059","url":null,"abstract":"Field data is often used as the basis for the prediction of an airplanes maintenance request. In the traditional methods, maintenance request predictions are mainly obtained immediately using data. However, uncertainty analysis during the failure detection is ignored, which makes maintenance request inaccurate. To overcome the above problems, a novel approach is proposed in this paper: a multivariate damage model is established to obtain the degree of airplane damage, which is used as an indicator for maintenance request predictions. On the basis of the degree of damage, uncertainty analysis can be effectively described using a stochastic process and the Markov process. The transition probability and transition time corresponding to the potential detection rate and date of maintenance, which are used to determine the distribution of maintenance requests. Experiments are implemented based on field data of a certain type of airplane. Results confirm that the proposed method performs well in the predictions of maintenance requests.","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":"130672227","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":"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":"243 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":"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}
{"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":"22 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":"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}
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":"60 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":"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}