{"title":"Reliability evaluation of phased mission system under multiple correlated failure modes","authors":"Xuejiao Du, Caihong Zhou, Jingbo Gai, Ke Yan","doi":"10.1109/SRSE54209.2021.00064","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00064","url":null,"abstract":"Phased Mission System (PMS) is widely used in large complex equipment such as spacecraft and satellites. Due to sophisticated structure and complex missions, the components and systems of the large complex equipment have multiple failure modes which are correlated. On the one hand, taking multiple correlated failure modes in to consideration can describe the multi-state characteristics of the system more accurately and decouple the correlation between different phases of the system more clearly. On the other hand, its complexity makes the reliability evaluation of PMS more difficult. To solve this problem, this paper discusses the modeling method of multiple failure modes and their correlation, and proposes an improved combination method of Multiple Failure Mode Tree (MFMT) and Multi-state and Multi-valued Decision Diagram (MMDD) model, completes the reliability evaluation of PMS in cross-level (failure mode-component-system) and cross-scale (single phase-multiple phase). Finally, the MFMT-MMDD model of the satellite attitude orbit control system (AOCS) is established and Monte Carlo simulation is used to verify the feasibility and accuracy of this modeling method.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805546","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}
Qisen Sun, X. Ye, Haoxiang Li, Wenwen Li, Ruiming Yuan, G. Zhai
{"title":"Estimation of Lithium Primary Battery Capacity Based on Pulse Load Test","authors":"Qisen Sun, X. Ye, Haoxiang Li, Wenwen Li, Ruiming Yuan, G. Zhai","doi":"10.1109/SRSE54209.2021.00031","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00031","url":null,"abstract":"Lithium primary batteries are widely used in devices that require long-life power supplies, and their capacity determines the reliability of the system. According to the voltage response characteristics of lithium primary batteries under pulse load test, a new method using the back propagation neural network to accurately estimate the ampere-hour capacity of lithium primary batteries is proposed. Since the voltage response measured under the same conditions changes with the decrease of battery capacity, the capacity features are extracted from the voltage response under pulse load test, and the combination of features and the corresponding capacity are used to build a capacity estimator. The advantages of this method are fast and simple measurement, and small capacity loss. The new approach is fully validated by experiments under various load conditions of lithium thionyl chloride batteries with different storage times.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491597","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":"Evolution mechanism of Mission Safety Based on SST","authors":"Jihui Xu, Yujin Chen, Jing Zhang, Qirong Chen","doi":"10.1109/SRSE54209.2021.00058","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00058","url":null,"abstract":"Faced changing operational requirements, the insufficient safety of aviation equipment has been repeatedly exposed. The fundamental to ensure the safety bottom line is to ensure the safety of the “software-hardware-environment-liveware” (SHEL) system during the mission execution and the countermeasure is to study the occurrence mechanism of safety events around the constraint effect of missions on safety. Therefore, an aviation equipment mission safety model is established to study the safety events during mission execution. The definition of mission safety (MS) and the mathematical foundation of the instability domain is given based on the Safety Structure Theory (SST) and three-way decision-making theory. And then the evolution mechanism and evolution process of safety events are analyzed. This model can be used in the evolution of safety events, the construction of mission safety analysis platform, the evaluation and prediction, accident prevention and process control.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115039931","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":"Optimal Operating Reserve Scheduling for Power System with Reliability and Wind Curtailment Limits","authors":"Yang Yang, Tang Loon Ching","doi":"10.1109/SRSE54209.2021.00043","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00043","url":null,"abstract":"The strong volatility of wind power output and load demand requires an effective method to schedule operating reserve in power systems. Not only the up reserve (UPR) but also the down reserve (DNR) should be considered when scheduling operating reserve. This paper presents a novel method for scheduling both UPR and DNR considering the constraints of operating reliability and wind curtailment in power systems. The expected energy not supplied (EENS) and expected wind power curtailed (EWPC) criterions are integrated into the day-ahead unit commitment (UC) model to pre-dispatch the power system. These criterions are formulated in detail based on the multi-state models of load demand, wind power output and generating units considering DNR and UPR. The proposed model is validated utilizing an 8-bus system.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699009","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":"Time-Dependent Reliability Analysis of System Based on Dynamic Bayesian Fault Network","authors":"Yunwen Feng, Z. Song, Cheng Lu, Chuxiong Yin","doi":"10.1109/SRSE54209.2021.00061","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00061","url":null,"abstract":"Prior and sample data information are two key information for Bayesian model to analyze and predict accurately. In order to make the time-dependent analysis results accurately describe the trend of reliability degradation with time, a Dynamic Bayesian fault network model (DBFN) is constructed. Firstly, the prior information is combined with exponential, uniform and normal probability density distribution functions to calculate the failure rate of the system based on curve fitting. Secondly, the backwards reasoning of Bayesian network is used to realize reliability analysis, which can trace the fault phenomenon to the fault cause. Finally, the time-dependent sensitivity analysis is carried out and the trend with time is given. Using the Cabin Door indication system failure as a case, the results show that the failure rate calculated by the dynamic method is closer to the time-varying state of the system than the static value. The method provides an objective means for system time-dependent reliability analysis.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"557 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316257","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":"Conference Organization SRSE 2021","authors":"","doi":"10.1109/srse54209.2021.00006","DOIUrl":"https://doi.org/10.1109/srse54209.2021.00006","url":null,"abstract":"","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132297119","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":"An Improved Solution for Degradation-Shock Dependence Models Considering a Specific Shock Load Level","authors":"Cao Shihao, Wang Zhihua, Z. Ao, Ma Xiangshun","doi":"10.1109/SRSE54209.2021.00033","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00033","url":null,"abstract":"Reliability analysis of competing failure processes between the degradation process and the shock process has become a focus in recent years. In most cases, the magnitude of a shock relates to the abrupt degradation damage. Besides, for high reliability products, small shock load can be resisted without degradation damage. However, in the existing researches, the truncated distribution for shock load has been neglected when above factors appeared, which leads to the inaccuracy of reliability function and it needs to be improved. In this paper, a mild assumption is proposed, and the approximated solution of reliability function is constructed accordingly. By explaining the accuracy of reliability function and mean time to failure (MTTF) under different parameter conditions, it is concluded that the proposed solution is more effective than the existing solutions, and it can provide theoretical support for the follow-up problems.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164632","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":"Belief Reliability Modeling for a System with Degradation Interaction Effect","authors":"Hao Li, Fangyou Fu, Fuqiang Sun","doi":"10.1109/SRSE54209.2021.00014","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00014","url":null,"abstract":"Complex systems often have multiple performance characteristics deteriorating with time. Due to the influence of some common factors (such as internal structure, application experience, environmental operating conditions, etc.), the dependence among multiple performance characteristics should be considered. Aiming at the problem of how to describe the coupling relationship of multiple degradation processes, a reliability modeling method for a system with bivariate dependent degradation processes based on the belief reliability theory and degradation interaction effect is proposed in this paper. Firstly, the degradation interaction effect is employed to describe the dependence between two performance characteristics during their degradation evolution process. Secondly, the degradation equation, margin equation and matric equation of two performance characteristics are established according to the belief reliability theory framework. Then, the statistical inference method based on genetic algorithm is used to estimate the unknown parameters. Finally, a real application on the tuner is provided to illustrate the performance of the proposed model and statistical estimation method.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343875","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}
Hongran Wang, Wenyuan Liao, Shaohua Yang, Chengwei Zhang, G. Lu, Zhipeng Wei, Xiao-hua Wang
{"title":"Research on Failure Mechanism of 976nm Tapered Laser","authors":"Hongran Wang, Wenyuan Liao, Shaohua Yang, Chengwei Zhang, G. Lu, Zhipeng Wei, Xiao-hua Wang","doi":"10.1109/SRSE54209.2021.00019","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00019","url":null,"abstract":"The tapered laser consists of tapered area and ridge area, which has a lower photon density because it has a wider cavity surface. Therefore, the structure is easier to achieve highpower, high-beam quality laser output than traditional lasers. More reliability issues will occur in the device with increasing power. In this paper, the tapered laser is analyzed by simulation software, the distribution of carriers and light field is obtained, and the failure analysis of tapered laser is performed by experiment. Combined simulation and experiment, the main reasons for the failure include spatial hole burning effect, cavity surface optical catastrophe, cavity surface contamination, cavity damage and poor welding. The failure mechanism of tapered lasers is determined, which provides useful help for advancing the application of tapered lasers.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129764452","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":"Life Prediction of Electromagnetic Relay Based on GRU-1dCNN","authors":"Baixin Liu, Zhaobin Wang, Zhen Li, Qingyun Qiao","doi":"10.1109/SRSE54209.2021.00035","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00035","url":null,"abstract":"In recent years, the remaining life prediction of high-reliability and long-life electrical components such as electromagnetic relays has become the research focus and difficult research topic. According to the characteristics of electromagnetic relay performance parameters, a GRU-improved one-dimensional convolutional neural network electromagnetic relay remaining life prediction method is proposed. Firstly, collect the relay's performance degradation data through the electrical performance simulation experiment system of the contact material. In order to make the model more convenient to extract the data features, the Kalman filter algorithm is used to reduce noise and smooth the relay's performance parameters. Then, using the keras deep learning framework and convolutional neural network, the remaining life prediction model of the contact material is established, and the mean square error is used as the loss function to evaluate the performance of the model. The results show that the model's test set accuracy rate reaches 96%, which improves the prediction accuracy compared with the traditional one-dimensional convolutional neural network model.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129817395","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}