发布求助
文献互助 智能选刊 最新文献

2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)最新文献

筛选
英文 中文
Bayesian Information Fusion for Imprecise Probabilistic Models with Different Types of Information 具有不同类型信息的不精确概率模型的贝叶斯信息融合
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00066
Chenxing Wang, Lechang Yang, Roberto Rocchetta
{"title":"Bayesian Information Fusion for Imprecise Probabilistic Models with Different Types of Information","authors":"Chenxing Wang, Lechang Yang, Roberto Rocchetta","doi":"10.1109/SRSE54209.2021.00066","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00066","url":null,"abstract":"A novel approximate Bayesian information fusion method is proposed based on Wasserstein distance and it is applied it to imprecise probabilistic models with different types of information. The proposed method combines the principle of maximum relative entropy with approximate Bayesian computation and uses the Wasserstein distance to perform the approximate Bayesian computations. The key benefit of this approach is the capability to handle different types of information, such as point observed data and moment information. To verify the effectiveness of the proposed method, we apply it to a simple supported beam problem. The results are analyzed towards accuracy and the proposed method is compared to the classical Bayesian approach combined with maximum relative entropy.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"7 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":"124925061","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
[Copyright notice] (版权)
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/srse54209.2021.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/srse54209.2021.00003","DOIUrl":"https://doi.org/10.1109/srse54209.2021.00003","url":null,"abstract":"","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":"122310432","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
Optimized Design for Noise Reduction Considering Relay Reliability 考虑继电器可靠性的降噪优化设计
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00025
Wenying Yang, Xuan Jia
{"title":"Optimized Design for Noise Reduction Considering Relay Reliability","authors":"Wenying Yang, Xuan Jia","doi":"10.1109/SRSE54209.2021.00025","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00025","url":null,"abstract":"To address the problem of excessive noise of relay operation in the battery pack of new energy vehicles, firstly, based on the noise test rig, the generation mechanism of noise during the close and open process of the relay is analyzed. The analysis shows that the kinetic energy at the moment when the armature is closed, the kinetic energy at the moment when the contacts are closed, the kinetic energy at the moment when the armature is released and the kinetic energy at the moment when the contacts are released are considered to be the key factors affecting noise. Afterwards, a finite element simulation model is established by taking a certain type of relay as an example, and on this basis, sampling points are selected to construct an approximate model. Finally, a multi-objective optimization method based on the efficient global optimization (EGO) algorithm is studied to optimize the noise reduction of this automotive relay, resulting in a significant reduction in noise while ensuring reliability.","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":"130595408","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 Evaluation Method of Aerospace Relays Based on Fusion of Simulation Data and Small Sample Test Data 基于仿真数据与小样本测试数据融合的航天继电器可靠性评估方法
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00036
Qingshen Li, Yigang Lin, Shanshan Wang, Xianggeng Zhu
{"title":"Reliability Evaluation Method of Aerospace Relays Based on Fusion of Simulation Data and Small Sample Test Data","authors":"Qingshen Li, Yigang Lin, Shanshan Wang, Xianggeng Zhu","doi":"10.1109/SRSE54209.2021.00036","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00036","url":null,"abstract":"In this paper, we present a reliability evaluation approach that combines simulation data with a small amount of test data. This approach solved to lack of sufficient test data of storage degradation, which leads to failure of reliability evaluation in the initial phase of development of aerospace relays. Firstly, the Inverse Gaussian process is used to model degradation data which is strictly monotone. Secondly, based on the Bayesian theory, a posteriori estimation and a priori estimation of the model parameters are listed. Then, the process of using EM algorithm to solve hyperparameters is introduced. Finally, in combination with the actual case, the method of integrating simulation data and experimental data are used to conduct the Inverse Gaussian process degradation modeling and the reliability evaluation in combination with the Bayesian theory. The results show that the performance degradation modeling based on simulation data can effectively evaluate the reliability. And the introduction of a small amount of test data can will further improve the accuracy of reliability assessment. The proposed method could provide a new idea of reliability evaluation for products with high reliability and small samples.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"56 59 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":"131023381","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: 2
Preface SRSE 2021
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/srse54209.2021.00005
{"title":"Preface SRSE 2021","authors":"","doi":"10.1109/srse54209.2021.00005","DOIUrl":"https://doi.org/10.1109/srse54209.2021.00005","url":null,"abstract":"","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"28 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":"117215387","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
Deep Reinforcement Learning Based Microgrid Expansion Planning with Battery Degradation and Resilience Enhancement 基于深度强化学习的电池退化和弹性增强微电网扩展规划
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00049
Kexin Pang, Jian Zhou, S. Tsianikas, Yizhong Ma
{"title":"Deep Reinforcement Learning Based Microgrid Expansion Planning with Battery Degradation and Resilience Enhancement","authors":"Kexin Pang, Jian Zhou, S. Tsianikas, Yizhong Ma","doi":"10.1109/SRSE54209.2021.00049","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00049","url":null,"abstract":"Nowadays, one of the main goals of long-term microgrid expansion planning is to improve power resilience while minimizing total cost. While the impacts of real-life features of storage units and power generation units are not explored in current literature, this paper establishes a microgrid expansion planning model which takes into account real-world battery degradation mechanism. Reinforcement learning based simulation methods are applied to obtain the optimal microgrid expansion policy. Case studies are conducted to verify the effectiveness of the proposed model and investigate the impact of battery degradation. Furthermore, the influence of the unavailability of power plants during extreme power outages on optimal microgrid expansion planning is also explored.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"9 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":"124606431","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
Research on Phase Consistency of Optical Fiber Delay Module 光纤延迟模块相位一致性研究
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00026
Wenyuan Liao, Shuwang Li
{"title":"Research on Phase Consistency of Optical Fiber Delay Module","authors":"Wenyuan Liao, Shuwang Li","doi":"10.1109/SRSE54209.2021.00026","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00026","url":null,"abstract":"The optical fiber delay module is mainly used in the optically controlled phased array radar system, which plays a core role in the whole system. Among them, the measurement accuracy of the optical fiber delay and the optical fiber length are key technologies to realize the phase consistency of the module. In this paper, the phase error source and phase consistency control method of optical fiber delay module are analyzed. Further, the high precision phase testing technology and reliability test of optical fiber delay module are carried out. It can be concluded that the combination of fiber fusion taper and optical phase shift can significantly improve the phase accuracy. Meanwhile, the phase consistency of each channel of the fiber delay module is very excellent before and after the test.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"58 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":"116577577","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
Determination of Key Components and Failure Mechanism Analysis of Smart Electricity Meter 智能电表关键部件确定及失效机理分析
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00020
Wenwen Li, Ruiming Yuan, Jiao Guo, Haoxiang Li, X. Ye
{"title":"Determination of Key Components and Failure Mechanism Analysis of Smart Electricity Meter","authors":"Wenwen Li, Ruiming Yuan, Jiao Guo, Haoxiang Li, X. Ye","doi":"10.1109/SRSE54209.2021.00020","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00020","url":null,"abstract":"Smart electricity meter is an important computing terminal in the construction of ubiquitous power Internet of Things, and its reliable life is uneven. The identification of key components of smart electricity meters plays a key role in improving the reliable life of smart electricity meters. This paper presents a method to determine key components of smart electricity meters based on simulation. According to the working principle of smart electricity meters, the key units of smart electricity meters are determined and the simulation model of key units is built. Through the analysis of simulation software, the key components affecting the output characteristics of smart electricity meters are determined, and the failure mechanism of these key components is analyzed combined with the actual working environment of smart electricity meters. This paper provides a reference for the design, production and reliability improvement of smart electricity meters.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"46 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":"114304934","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: 2
Component Selections for Preventive Maintenance with Cost Maintenance Priority 具有成本维护优先权的预防性维护部件选择
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00050
W. Zhang, Yong Yang, Bei Xu, J. Tao
{"title":"Component Selections for Preventive Maintenance with Cost Maintenance Priority","authors":"W. Zhang, Yong Yang, Bei Xu, J. Tao","doi":"10.1109/SRSE54209.2021.00050","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00050","url":null,"abstract":"In reliability engineering, while failed components in a system is being repaired, preventive maintenance (PM) may be conducted on the other components to improve the reliability of the system. Several recently published papers have considered how to select components for PM under this setting, but they did not consider related costs as an important factor. This paper proposes several novel measures on component selection for PM. The relevant costs include the cost of system failure, the cost of repairing the failed component, and the PM cost. Meanwhile, according to the proposed cost-based improvement potential, this paper investigates the optimal component maintenance level. A numerical example is used as a case study to illustrate the applicability of the proposed methods.","PeriodicalId":168429,"journal":{"name":"2021 3rd International Conference on System Reliability and Safety Engineering (SRSE)","volume":"26 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":"114630721","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
Research on Distribution Field Reconstruction Technology Based on Markov Random Field-Kriging Model 基于Markov随机场- kriging模型的配电场重构技术研究
2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) Pub Date : 2021-11-01 DOI: 10.1109/SRSE54209.2021.00057
Zhao Yuhao, Yang Jun, Zheng Huiling
{"title":"Research on Distribution Field Reconstruction Technology Based on Markov Random Field-Kriging Model","authors":"Zhao Yuhao, Yang Jun, Zheng Huiling","doi":"10.1109/SRSE54209.2021.00057","DOIUrl":"https://doi.org/10.1109/SRSE54209.2021.00057","url":null,"abstract":"Gas accident is the most serious form of coal mine accidents, so the analysis of gas distribution in coal mining face is particularly important. Aiming at the shortcoming that the numerical simulation of gas distribution cannot timely analyze the gas distribution of the stope based on the measured gas concentration data, the spatial information statistical models such as Kriging model are introduced to construct the stope gas distribution field. However, the Kriging model often uses all the gas concentration data for the estimation of gas concentration distribution in stope, which causes the heavy increasement of computational complexity. To overcome the problem, the neighborhood structure of Markov random field is proposed to embed into the Kriging model, which effectively reduces the computational complexity and mean square error of the estimation of gas concentration distribution in stope. Finally, an experiment study is carried out to show the effectiveness of the proposed method. Estimating 5 regions with 44 data sets, the program operation time is reduced by 28%. The estimation of single points also performed better than the original method and the mean square error is reduced by 19%.","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":"121072142","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信