Pub Date : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021221
Zhi-Feng You, Mingchang Song, F. Li
Prognostics and Health Management (PHM) is a technology of synthesizing logistics and maintenance. It forecasts the state of components’ health which can help maintenance work. Battlefield Damage Assessment and Repair (BDAR) is a special kind of maintenance work. They both have the common ground and the difference. PHM technology can help BDAR worker locate the damage part more quickly, and it can also help the BDAR commander make the rush-repair decision more accurately. But some special work which is the main work of this article for these purposes must be done: the characteristics of sensors’ using, the location scheme of sensors, the decision condition of rush-repair and the decision model.
{"title":"Applying Prognostics and Health Management Technology in Battle Damage Assessment and Repair","authors":"Zhi-Feng You, Mingchang Song, F. Li","doi":"10.1109/QR2MSE46217.2019.9021221","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021221","url":null,"abstract":"Prognostics and Health Management (PHM) is a technology of synthesizing logistics and maintenance. It forecasts the state of components’ health which can help maintenance work. Battlefield Damage Assessment and Repair (BDAR) is a special kind of maintenance work. They both have the common ground and the difference. PHM technology can help BDAR worker locate the damage part more quickly, and it can also help the BDAR commander make the rush-repair decision more accurately. But some special work which is the main work of this article for these purposes must be done: the characteristics of sensors’ using, the location scheme of sensors, the decision condition of rush-repair and the decision model.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765269","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021149
Junfang Xue, Li-Chun Chen, Xiufen Zhang
In order to solve the problem of optimization design and reliability analysis of eccentric shaft remanufacturing coating structure, the influence of design variable fluctuation on coating performance is considered based on response surface optimization. The Six Sigma Analysis (SSA) is introduced to improve the reliability of remanufacturing design schemes. Firstly, according to the sensitivity analysis, the optimization design variables of the structural optimization scheme are determined. Then, the full 2rd order polynomial response surface is established based on the experimental design data. With the Non-dominated Sorting Genetic Algorithm II (NSGAII) to solve the optimization problem, get a deterministic optimization scheme. Finally, the reliability of the deterministic optimization scheme is analyzed. The results show that the strength and stiffness of the eccentric shaft after remanufacturing still meet the design requirements, which provides a certain method reference and design reference for the eccentric shaft remanufacturing.
{"title":"Optimization Design and Reliability Analysis of Remanufacturing Coating Structure for Eccentric Shaft","authors":"Junfang Xue, Li-Chun Chen, Xiufen Zhang","doi":"10.1109/QR2MSE46217.2019.9021149","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021149","url":null,"abstract":"In order to solve the problem of optimization design and reliability analysis of eccentric shaft remanufacturing coating structure, the influence of design variable fluctuation on coating performance is considered based on response surface optimization. The Six Sigma Analysis (SSA) is introduced to improve the reliability of remanufacturing design schemes. Firstly, according to the sensitivity analysis, the optimization design variables of the structural optimization scheme are determined. Then, the full 2rd order polynomial response surface is established based on the experimental design data. With the Non-dominated Sorting Genetic Algorithm II (NSGAII) to solve the optimization problem, get a deterministic optimization scheme. Finally, the reliability of the deterministic optimization scheme is analyzed. The results show that the strength and stiffness of the eccentric shaft after remanufacturing still meet the design requirements, which provides a certain method reference and design reference for the eccentric shaft remanufacturing.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122640195","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021158
Zhongsheng Li, Jin Fan, Changjun Wu, H. Tao, Peitong Wang, Yi-Ling Zhang
To obtain the reliable growth planning curve in the whole process of reliability growth test, reliability growth planning technology has developed and become an important part of the reliability growth plan. Reliability growth planning models, are generally used to describe reliability growth plans and produce growth planning curves. It is found that two widely used models, CE model and PM2 model, can produce very different growth planning curves even under the same input conditions. However, there are few papers to study the relationship and difference of these two models. This paper gives a comparison of the two models by studying on the relationships between the parameters of two models and the corresponding planning curves, considering that planning models are always influenced by their intrinsic parameters. The results show that, CE Model can correctly reflect the effect of Fix Effectiveness Factor and Management Strategy change on growth planning curve. In contrast, PM2 Model can not correctly reflect the effect of the two parameters change on growth planning curve. From this point of view, the CE Model seems more reasonable and acceptable than the PM2 Model.
{"title":"A Comparison of PM2 and CE Growth Planning Models Based on Parameters Analysis","authors":"Zhongsheng Li, Jin Fan, Changjun Wu, H. Tao, Peitong Wang, Yi-Ling Zhang","doi":"10.1109/QR2MSE46217.2019.9021158","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021158","url":null,"abstract":"To obtain the reliable growth planning curve in the whole process of reliability growth test, reliability growth planning technology has developed and become an important part of the reliability growth plan. Reliability growth planning models, are generally used to describe reliability growth plans and produce growth planning curves. It is found that two widely used models, CE model and PM2 model, can produce very different growth planning curves even under the same input conditions. However, there are few papers to study the relationship and difference of these two models. This paper gives a comparison of the two models by studying on the relationships between the parameters of two models and the corresponding planning curves, considering that planning models are always influenced by their intrinsic parameters. The results show that, CE Model can correctly reflect the effect of Fix Effectiveness Factor and Management Strategy change on growth planning curve. In contrast, PM2 Model can not correctly reflect the effect of the two parameters change on growth planning curve. From this point of view, the CE Model seems more reasonable and acceptable than the PM2 Model.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128970642","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021190
Binghui Xu, Dezhen Yang, C. Qian, Qiang Feng, Yi Ren, Zi-li Wang, Bo Sun
The survival signature, a new approach introduced by Coolen, has been used as an effective method to quantify the complex system’s reliability as it requires less computation cost than other algorithms. This paper develops a new method for computing the exact survival signature based on the system reliability block diagram by extending the universal generating function (UGF). And verification example and comparisons with enumerative method are presented for its correctness and efficiency.
{"title":"A New Method for Computing Survival Signature Based on Extended Universal Generating Function","authors":"Binghui Xu, Dezhen Yang, C. Qian, Qiang Feng, Yi Ren, Zi-li Wang, Bo Sun","doi":"10.1109/QR2MSE46217.2019.9021190","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021190","url":null,"abstract":"The survival signature, a new approach introduced by Coolen, has been used as an effective method to quantify the complex system’s reliability as it requires less computation cost than other algorithms. This paper develops a new method for computing the exact survival signature based on the system reliability block diagram by extending the universal generating function (UGF). And verification example and comparisons with enumerative method are presented for its correctness and efficiency.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903686","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021240
Hao Niu, Shu-juan Wang, X. Ye, G. Zhai
Power MOSFETs (Metal Oxide Semiconductor Field Effect Transistor) has become one of the reliability-critical components in LED (lighting-emitting diode) driver applications. The failure types, which are stressed by temperature variations, are the dominant mechanisms of discrete power MOSFETs. During the operation of LED drivers, the thermal cycles come from different time constants, ranging from microseconds (caused by MOSFET switching losses) to minutes/hours (caused by the changing of ambient temperature and loads). In order to comprehensively understand thermal behaviours of power MOSFETs, this paper proposed a multi-timescale thermal modelling method for the stress analysis and lifetime prediction of power MOSFETs considering its operating mission profile. For the small timescale (device switching), an electro-thermal transient thermal simulation of MOSFETs is proposed, where the electrical simulation and thermal simulation are carried out in SABER to evaluate the turn-on/turn-off losses and ANSYS Icepak to analyze thermal stresses, respectively. For the large timescale, the system-level thermal model of the LED driver is built to evaluate the converter-level stresses. Afterward, considering two typical mission profiles of street lighting, the lifetime of the power MOSFET is predicted by using this multi-time scale model. This method can provide a more realistic way to predict the lifetime of power MOSFETs under different operation profiles.
{"title":"Multi-Time Scale Thermal Simulation Simulation-Assisted Lifetime Prediction of Power MOSFE T in LED Driver","authors":"Hao Niu, Shu-juan Wang, X. Ye, G. Zhai","doi":"10.1109/QR2MSE46217.2019.9021240","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021240","url":null,"abstract":"Power MOSFETs (Metal Oxide Semiconductor Field Effect Transistor) has become one of the reliability-critical components in LED (lighting-emitting diode) driver applications. The failure types, which are stressed by temperature variations, are the dominant mechanisms of discrete power MOSFETs. During the operation of LED drivers, the thermal cycles come from different time constants, ranging from microseconds (caused by MOSFET switching losses) to minutes/hours (caused by the changing of ambient temperature and loads). In order to comprehensively understand thermal behaviours of power MOSFETs, this paper proposed a multi-timescale thermal modelling method for the stress analysis and lifetime prediction of power MOSFETs considering its operating mission profile. For the small timescale (device switching), an electro-thermal transient thermal simulation of MOSFETs is proposed, where the electrical simulation and thermal simulation are carried out in SABER to evaluate the turn-on/turn-off losses and ANSYS Icepak to analyze thermal stresses, respectively. For the large timescale, the system-level thermal model of the LED driver is built to evaluate the converter-level stresses. Afterward, considering two typical mission profiles of street lighting, the lifetime of the power MOSFET is predicted by using this multi-time scale model. This method can provide a more realistic way to predict the lifetime of power MOSFETs under different operation profiles.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620124","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021229
Fengsheng Jia, Rui Lai
In order to improve aerospace quality problem closeloop work level and standardize the quality problem closeloop management, the quality problem close-loop process control method is studied based on close-loop document. By analyzing the key objects involved in the process of quality problem close-loop, characteristics of close-loop process document, close-loop role, and close-loop activity are defined. Combined with the quality problem close-loop guideline standard, quality problem close-loop process control mechanism is proposed. Quality problem closeloop stage is divided into six parts, and the operation contents of different close-loop stages are analyzed. Based on the process management requirements, a three-layer control structure model of quality problems close-loop is studied and constructed. The functional requirements of online management about quality problems close-loop are analyzed, and the system architecture is designed. A prototype system of quality problem close-loop management is developed. System test results show that the process control and integrated management of quality problem close-loop is realized.
{"title":"Aerospace Quality Problem Close-Loop Management Based on Process Document Control","authors":"Fengsheng Jia, Rui Lai","doi":"10.1109/QR2MSE46217.2019.9021229","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021229","url":null,"abstract":"In order to improve aerospace quality problem closeloop work level and standardize the quality problem closeloop management, the quality problem close-loop process control method is studied based on close-loop document. By analyzing the key objects involved in the process of quality problem close-loop, characteristics of close-loop process document, close-loop role, and close-loop activity are defined. Combined with the quality problem close-loop guideline standard, quality problem close-loop process control mechanism is proposed. Quality problem closeloop stage is divided into six parts, and the operation contents of different close-loop stages are analyzed. Based on the process management requirements, a three-layer control structure model of quality problems close-loop is studied and constructed. The functional requirements of online management about quality problems close-loop are analyzed, and the system architecture is designed. A prototype system of quality problem close-loop management is developed. System test results show that the process control and integrated management of quality problem close-loop is realized.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454486","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021249
Yaonan Ding, S. Zeng, Jianbin Guo, Meirong Yang
With the development of science and technology, the automation degree and reliability of machine are getting higher and higher. On the one hand, more stringent requirements are put forward for human beings. On the other hand, human factors have also become an important factor affecting the reliability of human-machine systems, especially in the aviation field. Although there are many classification methods for error, the analysis methods are mostly from a qualitative or quantitative point view. Moreover, the research objects are mostly partial and do not combine specific mission scenarios. In this paper, a new method of EMEA based on SHERPA, CRAM and HEART has been proposed. This method not only can effectively carry out retrospective analysis of error modes, but also integrate man, machine, media and mission to identify and calculate the probability of the error mode.
{"title":"A Method of Error Mode Effect Analysis for a Human-Computer Interaction System in Aviation","authors":"Yaonan Ding, S. Zeng, Jianbin Guo, Meirong Yang","doi":"10.1109/QR2MSE46217.2019.9021249","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021249","url":null,"abstract":"With the development of science and technology, the automation degree and reliability of machine are getting higher and higher. On the one hand, more stringent requirements are put forward for human beings. On the other hand, human factors have also become an important factor affecting the reliability of human-machine systems, especially in the aviation field. Although there are many classification methods for error, the analysis methods are mostly from a qualitative or quantitative point view. Moreover, the research objects are mostly partial and do not combine specific mission scenarios. In this paper, a new method of EMEA based on SHERPA, CRAM and HEART has been proposed. This method not only can effectively carry out retrospective analysis of error modes, but also integrate man, machine, media and mission to identify and calculate the probability of the error mode.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131448871","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021260
Ruijin Zhang, Binbin Hu, Lida Xu, B. Cao
Fatigue failure due to varying load is one of the main failure modes in engineering. A large plastic deformation due to accidental tensile overload around the crack tip has a significant effect on the fatigue crack propagation. In order to simulate the crack propagation process, the Cohesive Zone Model (CZM) based on elastoplastic mechanics was studied to take into account the plastic deformation. Based on the bilinear cohesive constitutive model and experimental data, two parameters including cohesive fracture energy and material strength were determined. By comparing Digital Image Correlation (DIC) experiment results with simulation results, it was concluded that both the normal quasi-static model and the cohesion model had a good coincidence with the test data when the plastic area around the tip of crack was small. For a larger plastic zone around the crack tip, the cohesive model method was obviously better than the quasi-static model.
{"title":"Simulation of Fatigue Crack Propagation Process after Overload Based on Cohesive Zone Model","authors":"Ruijin Zhang, Binbin Hu, Lida Xu, B. Cao","doi":"10.1109/QR2MSE46217.2019.9021260","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021260","url":null,"abstract":"Fatigue failure due to varying load is one of the main failure modes in engineering. A large plastic deformation due to accidental tensile overload around the crack tip has a significant effect on the fatigue crack propagation. In order to simulate the crack propagation process, the Cohesive Zone Model (CZM) based on elastoplastic mechanics was studied to take into account the plastic deformation. Based on the bilinear cohesive constitutive model and experimental data, two parameters including cohesive fracture energy and material strength were determined. By comparing Digital Image Correlation (DIC) experiment results with simulation results, it was concluded that both the normal quasi-static model and the cohesion model had a good coincidence with the test data when the plastic area around the tip of crack was small. For a larger plastic zone around the crack tip, the cohesive model method was obviously better than the quasi-static model.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132981587","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021131
Xing Lv, Zi-li Wang, Yi Ren, Dezhen Yang, Qiang Feng, Bo Sun, Du Liu
Traffic network will inevitably appear to be congested. Once congestion occurs, the ability of the traffic network to quickly return to its original state to avoid affecting expansion will be critical. This work employs an efficient Graph Convolutional Network- Recurrent Neural Networks (GCN-RNN) prediction model to analysis the resilience of traffic network. Then, we trained the model by millions of GPS data. The result shows that the model can predict the trend of the state change of the road network well. At last, based on GCN-RNN model, we analyze the resilience of traffic network qualitatively and quantitatively, which has certain reference value for the resilience design of traffic network and the selection of network operation strategies.
{"title":"Traffic Network Resilience Analysis Based On The GCN-RNN Prediction Model","authors":"Xing Lv, Zi-li Wang, Yi Ren, Dezhen Yang, Qiang Feng, Bo Sun, Du Liu","doi":"10.1109/QR2MSE46217.2019.9021131","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021131","url":null,"abstract":"Traffic network will inevitably appear to be congested. Once congestion occurs, the ability of the traffic network to quickly return to its original state to avoid affecting expansion will be critical. This work employs an efficient Graph Convolutional Network- Recurrent Neural Networks (GCN-RNN) prediction model to analysis the resilience of traffic network. Then, we trained the model by millions of GPS data. The result shows that the model can predict the trend of the state change of the road network well. At last, based on GCN-RNN model, we analyze the resilience of traffic network qualitatively and quantitatively, which has certain reference value for the resilience design of traffic network and the selection of network operation strategies.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132777664","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 : 2019-08-01DOI: 10.1109/QR2MSE46217.2019.9021237
Xiao Xiong, Haitao Zhao, Taibin Hu
With the lifespan of most modern navigation and communication satellites greater than 10 years, it is very important to find an optimal redundancy solution for satellite transponders. In this paper, we propose redundancy solutions of satellite transponders with six signal paths. Firstly, we introduce the mathematical models of the reliability of typical schemes. Specifically, we propose a method to simplify the Boolean truth table and RBD (Reliability Block Diagrams) model by combining the full probability formula, to obtain the reliability analytical solution for the complex redundant system such as ring backup (hot/cold backup). We also provide the boundary conditions of different redundancy configuration tradeoffs based on reliability analytical solution. Monte Carlo simulation is used to verify the correctness of the analytical models and the analysis results. Finally, we verified the common redundancy solutions, and obtain the optimal solution based on analysis results. In satellite product design, the conclusion based on the method proposed in this paper can be considered in addition to the complexity and performance impact of the space borne product, which conform the basis to choose the redundancy solution for the designers.
{"title":"Research on Redundancy Solution of Satellite Transponders Based on Reliability Analysis","authors":"Xiao Xiong, Haitao Zhao, Taibin Hu","doi":"10.1109/QR2MSE46217.2019.9021237","DOIUrl":"https://doi.org/10.1109/QR2MSE46217.2019.9021237","url":null,"abstract":"With the lifespan of most modern navigation and communication satellites greater than 10 years, it is very important to find an optimal redundancy solution for satellite transponders. In this paper, we propose redundancy solutions of satellite transponders with six signal paths. Firstly, we introduce the mathematical models of the reliability of typical schemes. Specifically, we propose a method to simplify the Boolean truth table and RBD (Reliability Block Diagrams) model by combining the full probability formula, to obtain the reliability analytical solution for the complex redundant system such as ring backup (hot/cold backup). We also provide the boundary conditions of different redundancy configuration tradeoffs based on reliability analytical solution. Monte Carlo simulation is used to verify the correctness of the analytical models and the analysis results. Finally, we verified the common redundancy solutions, and obtain the optimal solution based on analysis results. In satellite product design, the conclusion based on the method proposed in this paper can be considered in addition to the complexity and performance impact of the space borne product, which conform the basis to choose the redundancy solution for the designers.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131148765","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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