Pub Date : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987600
Pidong Wang, Lefei Li, Guanghao Li, Hongyi Li, Z. Wang
The battery pack in the communication satellite system needs to always maintain reliable operation during long-term tasks, which puts high demands on the reliability of the battery pack. Because the on-orbit data of the communication satellite system has the characteristics of realtime, large data volume and few invalid data, how to quickly collect and collate the on-orbit reliability data and perform reliability evaluation in real time is the problem to be solved in this paper. At present, the traditional reliability assessment cannot automatically evaluate the reliability data, and it needs to perform multiple discrete preprocessing processes, which affects the real-time performance of reliability assessment. Therefore, this paper studies how to use UML technology to quickly capture satellite in-orbit data. And converted into reliability data, research MATLAB interface technology (packaging technology), combined with exponential distribution reliability evaluation model to form an automated on-orbit reliability evaluation program, in order to carry out satellite battery in-orbit data reliability assessment, improve reliability assessment work s efficiency.
{"title":"Automated Reliability Assessment of On-orbit Satellite Battery Pack Based on UML","authors":"Pidong Wang, Lefei Li, Guanghao Li, Hongyi Li, Z. Wang","doi":"10.1109/ICSRS48664.2019.8987600","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987600","url":null,"abstract":"The battery pack in the communication satellite system needs to always maintain reliable operation during long-term tasks, which puts high demands on the reliability of the battery pack. Because the on-orbit data of the communication satellite system has the characteristics of realtime, large data volume and few invalid data, how to quickly collect and collate the on-orbit reliability data and perform reliability evaluation in real time is the problem to be solved in this paper. At present, the traditional reliability assessment cannot automatically evaluate the reliability data, and it needs to perform multiple discrete preprocessing processes, which affects the real-time performance of reliability assessment. Therefore, this paper studies how to use UML technology to quickly capture satellite in-orbit data. And converted into reliability data, research MATLAB interface technology (packaging technology), combined with exponential distribution reliability evaluation model to form an automated on-orbit reliability evaluation program, in order to carry out satellite battery in-orbit data reliability assessment, improve reliability assessment work s efficiency.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957908","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987641
S. Khanji, Farkhund Iqbal, Z. Maamar, Hakim Hacid
The evolution of Internet of Things (IoT) enables addressing problems with limited human assistance. It offers communication across various modern smart city applications, for example, using communication technologies like wireless sensor networks that would generate a huge amount of data. It is imperative to maintain reliable and trustworthy interactions over things to guarantee proliferation of IoT applications. As these applications are being rolled out in many fields, sensitive data need to be safeguarded against misuse and/or leakage. Moreover, promptness and real-time responses should feature all IoT services. This paper explores, through an experimental framework, the integration of blockchain into IoT in order to investigate its impact, security enhancements, and limitations or open challenges it might bring. A private fork on Ethereum blockchain platform is developed to connect IoT devices (Raspberry pi) deployed to detect car crashes so, that, the process of insurance claims are expediated. The same scenario is also deployed on public Ethereum network in order to offer a comprehensive overview of both public and private blockchain platforms and their related security issues and challenges. The findings formulate a rigid foundation upon which a proper and efficient IoT paradigm can be provisioned to unlock blockchain technology potentials in different other domains besides IoT.
{"title":"Boosting IoT Efficiency and Security through Blockchain: Blockchain-based Car Insurance Process - A Case Study","authors":"S. Khanji, Farkhund Iqbal, Z. Maamar, Hakim Hacid","doi":"10.1109/ICSRS48664.2019.8987641","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987641","url":null,"abstract":"The evolution of Internet of Things (IoT) enables addressing problems with limited human assistance. It offers communication across various modern smart city applications, for example, using communication technologies like wireless sensor networks that would generate a huge amount of data. It is imperative to maintain reliable and trustworthy interactions over things to guarantee proliferation of IoT applications. As these applications are being rolled out in many fields, sensitive data need to be safeguarded against misuse and/or leakage. Moreover, promptness and real-time responses should feature all IoT services. This paper explores, through an experimental framework, the integration of blockchain into IoT in order to investigate its impact, security enhancements, and limitations or open challenges it might bring. A private fork on Ethereum blockchain platform is developed to connect IoT devices (Raspberry pi) deployed to detect car crashes so, that, the process of insurance claims are expediated. The same scenario is also deployed on public Ethereum network in order to offer a comprehensive overview of both public and private blockchain platforms and their related security issues and challenges. The findings formulate a rigid foundation upon which a proper and efficient IoT paradigm can be provisioned to unlock blockchain technology potentials in different other domains besides IoT.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129865210","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987730
Yue Liu, K. Bao, Qiufang Wang, E. Zio
FTIR method is a common term used to monitor the lubricant oil service condition. The E2412-04 standard approved by ASTM presents a method for calculating oil condition monitoring parameters using FTIR spectroscopy. In this work, the values of ASTM parameters for 35 diesel engine oil samples were obtained to analyze the relationship between the ASTM parameters, such as the oxidation value, water content and other parameters, and the mileage of the vehicle. The driving environment of vehicle is demonstrated to be influential to lubricant oil oxidation using the ratio of oxidation rate in plateau area and in high temperature region. It is proposed that oxidation and nitration values are suitable for oil degradation analysis and oil replacement interval prediction. Further, considering the mileage, load ratio, temperature, air pressure and interference factors, the neural network of oil oxidation is constructed, and the method of oil replacement interval prediction is proposed.
{"title":"Application of FTIR Method to Monitor the Service Condition of Used Diesel Engine Lubricant Oil","authors":"Yue Liu, K. Bao, Qiufang Wang, E. Zio","doi":"10.1109/ICSRS48664.2019.8987730","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987730","url":null,"abstract":"FTIR method is a common term used to monitor the lubricant oil service condition. The E2412-04 standard approved by ASTM presents a method for calculating oil condition monitoring parameters using FTIR spectroscopy. In this work, the values of ASTM parameters for 35 diesel engine oil samples were obtained to analyze the relationship between the ASTM parameters, such as the oxidation value, water content and other parameters, and the mileage of the vehicle. The driving environment of vehicle is demonstrated to be influential to lubricant oil oxidation using the ratio of oxidation rate in plateau area and in high temperature region. It is proposed that oxidation and nitration values are suitable for oil degradation analysis and oil replacement interval prediction. Further, considering the mileage, load ratio, temperature, air pressure and interference factors, the neural network of oil oxidation is constructed, and the method of oil replacement interval prediction is proposed.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127559446","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987628
Peng Sun, R. Kooij, Zhidong He, P. Mieghem
In this paper, we propose closed-form analytic approximations for the minimum number of driver nodes needed to fully control networks, where links are removed according to both random and targeted attacks. Our approximations rely on the concept of critical links. A link is called critical if its removal increases the required number of driver nodes. We validate our approximation on both realworld and synthetic networks. For random attacks, the approximation is always very good, as long as the fraction of removed links is smaller than the fraction of critical links. For some cases, the approximation is still accurate for larger fractions of removed links. The approximation for an attack, where first the critical links are removed, is also accurate, as long as the fraction of removed links is sufficiently small. Finally, we show that the critical link attack is the most effective among 4 considered attacks, as long as the fraction of removed links is smaller than the fraction of critical links.
{"title":"Quantifying the Robustness of Network Controllability","authors":"Peng Sun, R. Kooij, Zhidong He, P. Mieghem","doi":"10.1109/ICSRS48664.2019.8987628","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987628","url":null,"abstract":"In this paper, we propose closed-form analytic approximations for the minimum number of driver nodes needed to fully control networks, where links are removed according to both random and targeted attacks. Our approximations rely on the concept of critical links. A link is called critical if its removal increases the required number of driver nodes. We validate our approximation on both realworld and synthetic networks. For random attacks, the approximation is always very good, as long as the fraction of removed links is smaller than the fraction of critical links. For some cases, the approximation is still accurate for larger fractions of removed links. The approximation for an attack, where first the critical links are removed, is also accurate, as long as the fraction of removed links is sufficiently small. Finally, we show that the critical link attack is the most effective among 4 considered attacks, as long as the fraction of removed links is smaller than the fraction of critical links.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120884218","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987716
H. Jahanian
Safety Instrumented Systems (SIS) protect major hazard facilities against catastrophic accidents. A SIS consists of hardware components and a software part - the program. Failure Mode Reasoning (FMR) is a novel abstraction technique for identifying and quantifying failure modes of SIS hardware components based on an analysis of the SIS program. In FMR, the program is divided into smaller segments, for each of which a local analysis of failure modes is carried out to identify input failure modes based on the function of the segment and a given failure mode at its output. The results of local analyses are then combined and simplified into a short list of global input failure modes. This paper explains the concepts of FMR and demonstrates its application through a real-life example. A comparison with other methods, such as Fault Tree Analysis is given in order to highlight the role of FMR in enhancing safety analysis of SIS.
{"title":"Failure Mode Reasoning","authors":"H. Jahanian","doi":"10.1109/ICSRS48664.2019.8987716","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987716","url":null,"abstract":"Safety Instrumented Systems (SIS) protect major hazard facilities against catastrophic accidents. A SIS consists of hardware components and a software part - the program. Failure Mode Reasoning (FMR) is a novel abstraction technique for identifying and quantifying failure modes of SIS hardware components based on an analysis of the SIS program. In FMR, the program is divided into smaller segments, for each of which a local analysis of failure modes is carried out to identify input failure modes based on the function of the segment and a given failure mode at its output. The results of local analyses are then combined and simplified into a short list of global input failure modes. This paper explains the concepts of FMR and demonstrates its application through a real-life example. A comparison with other methods, such as Fault Tree Analysis is given in order to highlight the role of FMR in enhancing safety analysis of SIS.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120997358","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987647
Duo Li, Shuqiao Zhou, Chao Guo, W. Wei
Reactor protection systems are one of the most important systems in nuclear power plant instrumentation and control systems. Periodic test plays an important role to maintain reactor protection system at a high level of operational reliability. The periodic test is carried out with every redundant channel independently and cause large fluctuations in the overall reliability of the system, in which the test frequency and test duration are main aspects to study its influence on the reactor protection system reliability. The research simulates the periodic test with direct Monte Carlo method and gets the unavailability curve of the protection system under periodic test.
{"title":"Simulation Study of Reactor Protection System Periodic Test Using Monte Carlo Method","authors":"Duo Li, Shuqiao Zhou, Chao Guo, W. Wei","doi":"10.1109/ICSRS48664.2019.8987647","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987647","url":null,"abstract":"Reactor protection systems are one of the most important systems in nuclear power plant instrumentation and control systems. Periodic test plays an important role to maintain reactor protection system at a high level of operational reliability. The periodic test is carried out with every redundant channel independently and cause large fluctuations in the overall reliability of the system, in which the test frequency and test duration are main aspects to study its influence on the reactor protection system reliability. The research simulates the periodic test with direct Monte Carlo method and gets the unavailability curve of the protection system under periodic test.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377726","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 : 2019-11-01DOI: 10.1109/icsrs48664.2019.8987686
{"title":"[Title page]","authors":"","doi":"10.1109/icsrs48664.2019.8987686","DOIUrl":"https://doi.org/10.1109/icsrs48664.2019.8987686","url":null,"abstract":"","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126885455","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987585
Alberto Bocca
The increase of battery-powered devices and systems, from consumer electronics to electric vehicles, means that the reliability analysis of such systems concerns both energy cells and battery packs, as well as circuitry. For this reason, battery modeling has been one of most developed research areas during the last two decades. In this context, the Millner model, which is based on crack propagation theory, provides an accurate mathematical model for the analysis of the degradation (i.e., aging or capacity fading) of lithium-ion cells. In order to extend the application of the Millner model in a practical and simplified way, this work describes a method to empirically set the coefficients of this model by extracting these values from experimental data only published by the manufacturer and some researchers. When simulating an AMP20m1HD-A prismatic pouch cell at different working and operating conditions, the results show an accurate analysis of the capacity fading, with an error of generally less than 3%.
{"title":"A Method to Empirically Set the Coefficients of an Analytical Model of Battery Aging","authors":"Alberto Bocca","doi":"10.1109/ICSRS48664.2019.8987585","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987585","url":null,"abstract":"The increase of battery-powered devices and systems, from consumer electronics to electric vehicles, means that the reliability analysis of such systems concerns both energy cells and battery packs, as well as circuitry. For this reason, battery modeling has been one of most developed research areas during the last two decades. In this context, the Millner model, which is based on crack propagation theory, provides an accurate mathematical model for the analysis of the degradation (i.e., aging or capacity fading) of lithium-ion cells. In order to extend the application of the Millner model in a practical and simplified way, this work describes a method to empirically set the coefficients of this model by extracting these values from experimental data only published by the manufacturer and some researchers. When simulating an AMP20m1HD-A prismatic pouch cell at different working and operating conditions, the results show an accurate analysis of the capacity fading, with an error of generally less than 3%.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134459016","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987644
M. Mongelli, Marco Muselli, Enrico Ferrari
In view of system reliability, extraction of knowledge from models of artificial intelligence may be more important than their forecasting ability. The elaboration of rules found by intelligible analytics gives here insight into the problem of packet falsification in vehicle platooning.
{"title":"Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning","authors":"M. Mongelli, Marco Muselli, Enrico Ferrari","doi":"10.1109/ICSRS48664.2019.8987644","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987644","url":null,"abstract":"In view of system reliability, extraction of knowledge from models of artificial intelligence may be more important than their forecasting ability. The elaboration of rules found by intelligible analytics gives here insight into the problem of packet falsification in vehicle platooning.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115848068","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 : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987650
Seyed Mojtaba Hoseyni, F. Maio, E. Zio
The problem of sensor positioning for condition monitoring of Systems, Structures and Components (SSCs) has been recently proposed to be addressed by Value of Information (VoI) optimization. VoI is a metric that quantifies the benefit of taking a measurement prior to adopting it. This metric lacks the characteristics of sub-modularity, i.e. the benefit of adding a measurement to a small set of measurement is higher than adding it to a bigger set. This causes the VoI optimization to not guarantee optimal results when the problem is solved by greedy optimization algorithms. In this work, the sub-modularity issue is considered with reference to the thickness gauge sensor positioning on a Steam Generator (SG) of Nuclear Power Plant (NPP), and ways forward to overcome the sub-modularity issue are suggested.
{"title":"VoI-Based Optimal Sensors Positioning and the Sub-Modularity Issue","authors":"Seyed Mojtaba Hoseyni, F. Maio, E. Zio","doi":"10.1109/ICSRS48664.2019.8987650","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987650","url":null,"abstract":"The problem of sensor positioning for condition monitoring of Systems, Structures and Components (SSCs) has been recently proposed to be addressed by Value of Information (VoI) optimization. VoI is a metric that quantifies the benefit of taking a measurement prior to adopting it. This metric lacks the characteristics of sub-modularity, i.e. the benefit of adding a measurement to a small set of measurement is higher than adding it to a bigger set. This causes the VoI optimization to not guarantee optimal results when the problem is solved by greedy optimization algorithms. In this work, the sub-modularity issue is considered with reference to the thickness gauge sensor positioning on a Steam Generator (SG) of Nuclear Power Plant (NPP), and ways forward to overcome the sub-modularity issue are suggested.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117809","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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