2022 4th International Conference on System Reliability and Safety Engineering (SRSE)最新文献

{"title":"Design of an Online Operational Task Reliability Analysis System in Nuclear Power Plant","authors":"Wei Li, Ming Yang, Zhengxi He, Zhao Gao, Yan Xiong, Zhongyue Zhang, Dehang Jiang, Jipu Wang","doi":"10.1109/SRSE56746.2022.10067631","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067631","url":null,"abstract":"Human factors play an important role in human- computer interaction systems such as nuclear power plants (NPPs). Especially for the human-computer interaction process in unknown scenarios, incorrect personnel actions will affect the operation of equipment and systems, and finally the achievement of safety goals of NPPs. This paper presents a design of an online operational task reliability analysis (OOTRA) system which provides early warnings to operations in a timely manner by monitoring the states of plant systems and equipment, and operator actions. For any wrong action of operators, the OOTRA system can online evaluate the impact of the wrong action on the operational task and the goals of NPPs.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131301542","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":"Protection Current Degradation Modeling and Life Evaluation Method of Sacrificial Anodes for Marine Structures","authors":"H. Ji, Yikun Cai, Xiao-bing Ma, Yanyan Wang","doi":"10.1109/SRSE56746.2022.10067500","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067500","url":null,"abstract":"In this paper, the relation model between anti-corrosion coatings and cathodic protection by sacrificial anodes for marine structures is established from the perspective of electrochemical theory. On this basis, the influence of different protection current densities on coating cathodic disbondment is analyzed. The inverse power law model of coating cathodic disbondment is determined by the data of coating accelerate cathodic disbondment test. The protection current degradation model of sacrificial anode is established based on the mixed potential theory and polarization theory. Finally, according to the physical and electrochemical parameters of the sacrificial anode, the lifetime evaluation method of the sacrificial anode considering the cathodic disbondment of coating is proposed. The results of case analysis show that the sacrificial anode protection current model can effectively describe the consumption state of sacrificial anode. In addition, the coating disbonded area and the protective current of sacrificial anode increase with time, while the protective current density decreases with time.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122982530","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 Multilevel Flow Models based Diagnosis Method for Multiple Faults in Nuclear Power Plant","authors":"Gengwu Wu, Jipu Wang, Haixia Gu, Gaojun Liu, Jixue Li, Hongyun Xie, Ming Yang","doi":"10.1109/SRSE56746.2022.10067781","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067781","url":null,"abstract":"Multiple fault diagnosis is a challenging problem, especially for complex high-risk systems such as nuclear power plants. Multilevel Flow Models (MFM) is a powerful tool for identifying functional failures of complex process systems composing of mass, energy and information flows. The method of fault diagnosis based on MFM is generally based on the assumption that only a single fault occurs, and based on this, the Depth First Search (DFS) is adopted to identify the abnormal functions at the lower level of an MFM. This paper presents a method based on Multilevel Flow Models (MFM) for diagnosing multiple functionally related and coupled faults. An MFM model is firstly transformed into a reasoning Causal Dependency Graph (CDG) model according to a group of alarm events. The CDG model is further decoupled to generate causal trees by a DFS algorithm, each of which represents an overall explanation of a cause of alarm events. The paper presents a comparative analysis of cases. It proves that the method proposed in the paper can give more comprehensive diagnostic results than the existing method.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121798178","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 Resilience-Based Routing Planning and Scheduling Model for Post-Disaster Transportation Network Recovery with Multiple Repair Teams","authors":"Yanan Cheng, Zilin Zhang","doi":"10.1109/SRSE56746.2022.10067487","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067487","url":null,"abstract":"In order to quickly recover the transportation network after a disaster, this paper considers a recovery scenario in which multiple repair teams perform repair work. Also, considering that there is an interval between repair tasks, the travel time spent before reaching each repair task to perform repair work is non-negligible, so the routing planning of repair teams is required. To solve this problem, this paper proposes a resilience-based routing planning and scheduling model for multiple repair teams and gives the task schedule of each repair team and the recovery completion time of each task in the whole repair work. In order to obtain the solution results of the proposed complex problem, this paper uses the Ant Colony System algorithm for solving it.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127924526","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":"Research on Performance Model of Radial Foil Air Bearings for Aeronautical Cooling Turbine Unit","authors":"Chao Song, Zhaohang Zhang, Jianjun Zhu, Jianjun Du","doi":"10.1109/SRSE56746.2022.10067663","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067663","url":null,"abstract":"In this paper, it is accurately constructed the performance/lubrication characteristics model of air radial bearing for cooling turbine unit, which breakdowns frequently, and it is formed the lubrication characteristics modeling and analysis method of the performance of air bearing for cooling turbine unit, guides the product forward design. It can be applied to the quality improvement and design improvement of aeronautical cooling turbine unit. The research object of this paper is the most typical cantilever elastic foil radial bearing in aviation applications, which mainly consists of a bearing seat and a curved foil. One end of the foil is fixed and the other section is freely lap to the adjacent foil to provide elastic support for the rotating shaft. In the Matlab language environment, the lubrication characteristics of turbine cooler air radial bearing at microscopic level were modeled, and the Reynolds equation of air radial bearing lubricating oil film was established. The weighted margin method and finite element method were used to reduce the order and discretize the equation. At the same time, based on the radial elastic deformation of foil air, establish a beam element model is used to calculate the elastic deformation of foil air bearing and initial oil film thickness equation, elastic deformation will foil with foil gas film thickness equation of gas dynamic pressure bearing phase coupling, to carry out the friction pair of fluid-solid coupling iteration, the bearing capacity of the air bearing, friction torque and the static characteristics of the numerical calculation method. Finally, compared with the simulation results of lubrication gas film pressure distribution, gas film thickness distribution and other static characteristics of elastic foil dynamic pressure gas bearings, the accuracy of the conclusions of the failure performance model presented in this paper is verified under the micro-lubrication characteristics of air radial bearings. The influence of basic parameters of air bearings on static characteristics of foil dynamic pressure gas bearings such as bearing capacity, friction torque and foil deformation was analyzed, and the influencing factors of key factors of air bearings were analyzed to support the design to improve characteristics of aeronautical cooling turbine unit.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134348865","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":"Critical Infrastructure Network Maintenance Scheduling Optimization Based on Random Resource Requirement","authors":"Zilin Zhang, Yanan Cheng","doi":"10.1109/SRSE56746.2022.10067841","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067841","url":null,"abstract":"We model post-disaster critical infrastructure network maintenance scheduling problem considering the uncertainty of resource requirements through the Markov decision process. Then we design state space, action space, and reward function suitable for the model and use a simulation experiment to verify the rationality of the model. Finally, we analyze the influence of network size on repair delay caused by damage paths and give corresponding suggestions. It expands application of reinforcement learning in the field of critical infrastructure network maintenance scheduling problem and has strong theoretical significance and application value.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121073984","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":"Loose Particle Localization Method for Sealed Electronic Equipment Based on Improved Random Forest","authors":"Zhigang Sun, G. Zhai, Guotao Wang, Pengfei Li, Min Zhang","doi":"10.1109/SRSE56746.2022.10067854","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067854","url":null,"abstract":"Existing localization model based on normal random forest achieved limited classification accuracy, the author proposes an improved random forest, and applies it in the loose particle localization method for sealed electronic equipment. Specifically, multiple classification regression trees (CARTs) that more than predetermined are trained, and three reserved sample subsets are used to calculate the average classification accuracy achieved by each CART. Based on this, CARTs are arranged in descending order. Meanwhile, the vectorial inner product method is used to calculate the inner product values among the CARTs. The overall classification accuracy achieved by the random forest and the grid search method are used to determine the optimal inner product threshold. The inner product values between each pair of CARTs are compared with the inner product threshold, and the one in pair of CARTs with an inner product value smaller than the inner product threshold that achieves a lower average classification accuracy is marked as erasable. On this basis, the average classification accuracies achieved by CARTs and the correlations between them are comprehensive considered, and those CARTs with higher correlation and lower classification accuracy are deleted until the number of remaining CARTs reaches the predetermined. They are used to construct a high-performance improved random forest, from which a better localization model is obtained. Experimental results show that, the precision, recall and F1-value obtained by the localization model based on improved random forest are substantially improved compared with the previous one. Meanwhile, it achieves a classification accuracy of 90.72%, which is 6.4 higher than the previous one of 84.25%. This fully demonstrates the superiority and stability of the proposed improved random forest, and also shows the feasibility and practicality of applying it to solve the loose particle localization problem. Theoretically, it can be applied to the acoustic emission source localization or fault source localization research in similar fields, and provide valuable reference for algorithm optimization in machine learning.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125551241","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":"Concepts and Framework of Automatic Identification Technology for Secondary Device in Substations","authors":"Biao Tang, Xuyong Huang, Yutang Ma, Mengmeng Zhu, Dongdong Zhu, Yue Feng, Tihao Jiang, Shaojun Qu","doi":"10.1109/SRSE56746.2022.10067784","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067784","url":null,"abstract":"The equipment of power system is mainly divided into primary equipment and secondary equipment. The maintenance technology of primary equipment in substation is more mature than that of secondary equipment, so the identification technology of secondary equipment is more challenging than that of primary equipment. Accurately identifying the operation status of secondary equipment can reduce accidents such as short circuit, arc, poor heat dissipation and equipment failure as much as possible, which is of great significance to the safe and stable operation of the entire power system. This paper summarizes the technical difficulties and research status of automatic identification technology of secondary equipment, some commonly used identification equipment in Yunnan power grid is listed, and the accuracy of each equipment is scored. Finally, five constructive conclusions and prospects for related technical elements are put forward.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128854986","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":"Research on Reliability Quantitative Evaluation Method of Stepping Stress Strengthening Test for Electronic Equipment","authors":"Hong Wang, Yuxin Wang","doi":"10.1109/SRSE56746.2022.10067679","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067679","url":null,"abstract":"Reliability testing has been widely used in product design and development process. Among them, because multiple stress level conditions exist in the stepping stress strengthening test, the reliability quantitative assessment of the stepping stress strengthening test has become a difficult point. This paper focuses on the research on the data analysis method of stepping stress strengthening test, and proposes a reliability quantitative assessment technical framework towards the stepping stress strengthening test method. Bayesian estimation, MCMC principle and Gibbs sampling method are used to obtain the reliability characteristics of the product in the stepping stress strengthening test. The proposed method has been applied to the results of typical low-temperature stepping stress strengthening test, which verifies the effectiveness and practicability of the method.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122349278","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 Dynamic Fire Risk Assessment Framework of Critical UHV Converter Transformer","authors":"Jian-Rui Feng, Guanghui Yu, Mengke Zhao, Jiaqing Zhang, Yi Guo, Shouxiang Lu","doi":"10.1109/SRSE56746.2022.10067632","DOIUrl":"https://doi.org/10.1109/SRSE56746.2022.10067632","url":null,"abstract":"To scientifically assess the fire risk of the Ultra-High Voltage (UHV) converter station and improve the level of safety and reliability for the UHV converter transformer, the dynamic risk assessment of the UHV converter transformer was carried out, which formed an important means to promote its development. This paper put forward a dynamic fire risk assessment framework for UHV converter transformer, which was established based on the theory and method of system safety engineering, according to the characteristics of the UHV converter transformer. Analytic Hierarchy Process (AHP) was applied to risk assessment indicators and weight calculation. A new method of expert weight allocation and dynamic indicator system was proposed. On this basis, fire risk of the UHV converter transformer was systematically assessed. Taking the UHV converter transformer in UHV converter transformer as an example for the first time, the fire risk was analyzed. The potential hazards, main failure and accident consequence of UHV converter transformer in converter transformer were obtained. UHV converter transformer fire risk assessment dynamic indicator system was established.","PeriodicalId":147308,"journal":{"name":"2022 4th International Conference on System Reliability and Safety Engineering (SRSE)","volume":"455 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116409606","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}