Pub Date : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987653
Fulvio Enzo Ramundo, L. Fedele
International Space Station (ISS) is the state-of-the-art largest man-made habitable living space in low Earth orbit. Safety is of primary concern in human missions to space; the problems in space are mostly of different nature than that encountered here on Earth and therefore, different ways and tools have to be developed to solve such issues: for this purpose it is necessary to consider both technical and environmental challenges. This report tries to investigate criticalities, challenges in addressing them and how they have been solved, from the point of view point of Safety; furthermore, an attempt was made to investigate the complexities of the problems of this habitable orbiting structure and smart ideas adopted to solve these problems in terms of safety and maintenance. The objective of the present report aims to understand how safety can be quantified with a help of FMECA methology, thus, giving an idea to what type of failures are most vulnerable ones and how one can work to eliminate or, otherwise, minimize it. Due to the fact that, the ISS consists of hundreds of thousands of components, only one of the subsystem (propulsion system) has been taken into consideration during the analysis. However, most of the major, systems, sub-systems, and their components have been enlisted to better understand the important aspects of the space station. The description and interpretation of the results obtained with the FMECA analysis offer further ideas, which can be useful to improve the safety of human missions in space.
{"title":"Proposal of a Systematic Approach to Risk Assessment and Management in Space Station","authors":"Fulvio Enzo Ramundo, L. Fedele","doi":"10.1109/ICSRS48664.2019.8987653","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987653","url":null,"abstract":"International Space Station (ISS) is the state-of-the-art largest man-made habitable living space in low Earth orbit. Safety is of primary concern in human missions to space; the problems in space are mostly of different nature than that encountered here on Earth and therefore, different ways and tools have to be developed to solve such issues: for this purpose it is necessary to consider both technical and environmental challenges. This report tries to investigate criticalities, challenges in addressing them and how they have been solved, from the point of view point of Safety; furthermore, an attempt was made to investigate the complexities of the problems of this habitable orbiting structure and smart ideas adopted to solve these problems in terms of safety and maintenance. The objective of the present report aims to understand how safety can be quantified with a help of FMECA methology, thus, giving an idea to what type of failures are most vulnerable ones and how one can work to eliminate or, otherwise, minimize it. Due to the fact that, the ISS consists of hundreds of thousands of components, only one of the subsystem (propulsion system) has been taken into consideration during the analysis. However, most of the major, systems, sub-systems, and their components have been enlisted to better understand the important aspects of the space station. The description and interpretation of the results obtained with the FMECA analysis offer further ideas, which can be useful to improve the safety of human missions in space.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122008255","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/ICSRS48664.2019.8987694
Behnaz Hosseinnia, N. Khakzad, R. Patriarca, N. Paltrinieri
Maintenance operations are mainly aimed at avoiding and reducing the leakages in petroleum facilities, there is a high risk of hydrocarbon release during maintenance operation. Maintenance is a socio-technical process, consisting of several human, technical and organizational factors, each with a potential to affect the risk of hydrocarbon release. This paper describes the idea of how a Functional Resonance Analysis Method (FRAM) can facilitate the modeling and assessing the risks arising from dynamic interactions in maintenance operations. A generic FRAM model is first developed for the maintenance operations, and a Resilience Analysis Matrix (RAM) approach is then used as a supportive tool for systematic assessment and evaluation of the most critical Risk Influencing Factors (RIFs) together with the FRAM model.
{"title":"Modeling Risk Influencing Factors of Hydrocarbon Release Accidents in Maintenance Operations using FRAM","authors":"Behnaz Hosseinnia, N. Khakzad, R. Patriarca, N. Paltrinieri","doi":"10.1109/ICSRS48664.2019.8987694","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987694","url":null,"abstract":"Maintenance operations are mainly aimed at avoiding and reducing the leakages in petroleum facilities, there is a high risk of hydrocarbon release during maintenance operation. Maintenance is a socio-technical process, consisting of several human, technical and organizational factors, each with a potential to affect the risk of hydrocarbon release. This paper describes the idea of how a Functional Resonance Analysis Method (FRAM) can facilitate the modeling and assessing the risks arising from dynamic interactions in maintenance operations. A generic FRAM model is first developed for the maintenance operations, and a Resilience Analysis Matrix (RAM) approach is then used as a supportive tool for systematic assessment and evaluation of the most critical Risk Influencing Factors (RIFs) together with the FRAM model.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122248178","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/ICSRS48664.2019.8987680
Mizuki Soeda, M. Hayashi
This paper proposes a new way of executing second order partial differential calculus using 4 by 4 matrices and demonstrates an important application to the reliability engineering field. The existing matrix approach for ordinary or first-order differential calculus prevents an exponential increase in computation time of the post-expression obtained by differential calculus and realizes a linear time increase instead. It was emphasized that this approach is a breakthrough for solving computation problems not only in reliability engineering fields, but also all science and engineering fields, because differential calculus is essential to and commonly used for almost all of them. However, the existing approach can only be applied to ordinary or first-order partial differential calculus. Higher order partial differential derivatives are out of its scope. This paper first extends the matrix approach to second-order partial differential calculus as an important step towards higher order calculus. The proposed method is used to compute the Joint Reliability Importance of System, which is a key index in reliability engineering. We emphasize that our matrix approach is especially useful if a system has a large number of components as in the case of communications systems.
{"title":"Extended Matrix Approach for Differential Calculus and Its Application to Reliability Engineering","authors":"Mizuki Soeda, M. Hayashi","doi":"10.1109/ICSRS48664.2019.8987680","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987680","url":null,"abstract":"This paper proposes a new way of executing second order partial differential calculus using 4 by 4 matrices and demonstrates an important application to the reliability engineering field. The existing matrix approach for ordinary or first-order differential calculus prevents an exponential increase in computation time of the post-expression obtained by differential calculus and realizes a linear time increase instead. It was emphasized that this approach is a breakthrough for solving computation problems not only in reliability engineering fields, but also all science and engineering fields, because differential calculus is essential to and commonly used for almost all of them. However, the existing approach can only be applied to ordinary or first-order partial differential calculus. Higher order partial differential derivatives are out of its scope. This paper first extends the matrix approach to second-order partial differential calculus as an important step towards higher order calculus. The proposed method is used to compute the Joint Reliability Importance of System, which is a key index in reliability engineering. We emphasize that our matrix approach is especially useful if a system has a large number of components as in the case of communications systems.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"152 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186833","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/ICSRS48664.2019.8987708
Martin Skriver, Jannes Helck, A. Hasan
This paper presents an algorithm for actuator fault diagnosis of nonlinear systems. The method is derived under classical uniform complete observability, controllability, and persistent excitation condition. To this end, the fault is modeled as a constant or a piecewise constant parameter vector. The diagnosis algorithm is based on the Extended Kalman Filter (EKF) with an explicit update law for the actuator fault estimation. From a practical point of view, the proposed algorithm can be used for general nonlinearity. To illustrate the effectiveness of the diagnosis algorithm, we present two numerical examples using the models of an autonomous car and a gantry crane.
{"title":"Adaptive Extended Kalman Filter for Actuator Fault Diagnosis","authors":"Martin Skriver, Jannes Helck, A. Hasan","doi":"10.1109/ICSRS48664.2019.8987708","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987708","url":null,"abstract":"This paper presents an algorithm for actuator fault diagnosis of nonlinear systems. The method is derived under classical uniform complete observability, controllability, and persistent excitation condition. To this end, the fault is modeled as a constant or a piecewise constant parameter vector. The diagnosis algorithm is based on the Extended Kalman Filter (EKF) with an explicit update law for the actuator fault estimation. From a practical point of view, the proposed algorithm can be used for general nonlinearity. To illustrate the effectiveness of the diagnosis algorithm, we present two numerical examples using the models of an autonomous car and a gantry crane.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130551502","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/ICSRS48664.2019.8987594
Chao Guo, Shuqiao Zhou, Jianghai Li, Fan Chen, Duo Li, Xiaojin Huang
The safety-critical software of Reactor Protection System (RPS) plays a significant role for the safe operation of the nuclear power plant (NPP). However, it also brings challenges both to the reliability analysis of the RPS and to the Probabilistic Risk Assessment of the NPPs. The reliability analysis of safety-critical software is also expected by the nuclear regulation agencies and the software development groups for test evaluation and optimization. The detected faults during the software test process are regarded to have close connection with the software reliability and there have been hundreds of test-based software reliability models. Due to the particularity of its function, the safety-critical software of an NPP is especially sensitive to the faults with higher severity levels which should be paid special attention to. Severity levels of faults are commonly taken into account during software reliability modelling. In this paper, a novel software reliability growth model considering actual severity data was built based on a non-homogeneous Poisson process. Ratio of fatal faults with highest severity level to all accumulated faults was modelled with logistic curve. Then the mean value functions of both fatal and general faults were derived. A belief factor was employed to describe the trend of severity classification. In the end, the test data of a practical project was used to verify this model. The analysis results showed that this model had better prediction effect than Goel-Okumoto model and Inflection S-shaped model even when limited test data were collected. This novel model can be used as a helpful tool to evaluate both the reliability and the release time of the safety-critical software of an NPP.
{"title":"A Novel Software Reliability Growth Model of Safety-critical Software Considering Fault Severity Classification","authors":"Chao Guo, Shuqiao Zhou, Jianghai Li, Fan Chen, Duo Li, Xiaojin Huang","doi":"10.1109/ICSRS48664.2019.8987594","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987594","url":null,"abstract":"The safety-critical software of Reactor Protection System (RPS) plays a significant role for the safe operation of the nuclear power plant (NPP). However, it also brings challenges both to the reliability analysis of the RPS and to the Probabilistic Risk Assessment of the NPPs. The reliability analysis of safety-critical software is also expected by the nuclear regulation agencies and the software development groups for test evaluation and optimization. The detected faults during the software test process are regarded to have close connection with the software reliability and there have been hundreds of test-based software reliability models. Due to the particularity of its function, the safety-critical software of an NPP is especially sensitive to the faults with higher severity levels which should be paid special attention to. Severity levels of faults are commonly taken into account during software reliability modelling. In this paper, a novel software reliability growth model considering actual severity data was built based on a non-homogeneous Poisson process. Ratio of fatal faults with highest severity level to all accumulated faults was modelled with logistic curve. Then the mean value functions of both fatal and general faults were derived. A belief factor was employed to describe the trend of severity classification. In the end, the test data of a practical project was used to verify this model. The analysis results showed that this model had better prediction effect than Goel-Okumoto model and Inflection S-shaped model even when limited test data were collected. This novel model can be used as a helpful tool to evaluate both the reliability and the release time of the safety-critical software of an NPP.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130727656","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/ICSRS48664.2019.8987691
J. Tomaszewska, M. Woch, Jakub Krzyszkowski, M. Zieja
This contribution presents a comparison of two GPS and GLONASS satellite systems. Data concerning pseudorange errors and the possibility of eliminating the space geometric coefficient were taken into account. In addition, the study contains information about errors in satellite systems. Both satellite systems and their booster stations were specified. The research on the comparison of two satellite systems has been presented. Experimental studies will be presented successively in order to demonstrate the statistical analysis showing the differences of pseudo-distance error of GPS and GLONASS satellite systems.
{"title":"Comparative Analysis of Pseudorange Error of GPS and GLONASS Satellite Systems","authors":"J. Tomaszewska, M. Woch, Jakub Krzyszkowski, M. Zieja","doi":"10.1109/ICSRS48664.2019.8987691","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987691","url":null,"abstract":"This contribution presents a comparison of two GPS and GLONASS satellite systems. Data concerning pseudorange errors and the possibility of eliminating the space geometric coefficient were taken into account. In addition, the study contains information about errors in satellite systems. Both satellite systems and their booster stations were specified. The research on the comparison of two satellite systems has been presented. Experimental studies will be presented successively in order to demonstrate the statistical analysis showing the differences of pseudo-distance error of GPS and GLONASS satellite systems.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133031092","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/ICSRS48664.2019.8987623
Irvin Dongo, Yudith Cardinale, A. Aguilera
In this paper, we present a study about the most popular information sources available on the Web (e.g., Google, Facebook, Twitter) and the available methods to verify their publications. We propose a generic credibility analysis model for social information sources, which is instantiated for Twitter. We show a proof of concepts through the development of World White Web, a Google Chrome extension application that implements the model to analyze tweets in real time, using web scraping. Our study demonstrates the feasibility and suitability of creating efficient methods to analyze the credibility of publication on social networks and points out the challenges and open problems that should be overcome in future solutions in this area.
在本文中，我们提出了一项关于网络上最受欢迎的信息源(例如，谷歌，Facebook, Twitter)以及验证其出版物的可用方法的研究。我们提出了一个社会信息源的通用可信度分析模型，并以Twitter为例进行了实例化。我们通过开发World White Web展示了概念的证明，World White Web是一个Google Chrome扩展应用程序，它实现了使用网络抓取实时分析tweet的模型。我们的研究证明了创建有效方法来分析社交网络上出版物可信度的可行性和适用性，并指出了在该领域未来解决方案中应该克服的挑战和开放问题。
{"title":"Credibility Analysis for Available Information Sources on the Web: A Review and a Contribution","authors":"Irvin Dongo, Yudith Cardinale, A. Aguilera","doi":"10.1109/ICSRS48664.2019.8987623","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987623","url":null,"abstract":"In this paper, we present a study about the most popular information sources available on the Web (e.g., Google, Facebook, Twitter) and the available methods to verify their publications. We propose a generic credibility analysis model for social information sources, which is instantiated for Twitter. We show a proof of concepts through the development of World White Web, a Google Chrome extension application that implements the model to analyze tweets in real time, using web scraping. Our study demonstrates the feasibility and suitability of creating efficient methods to analyze the credibility of publication on social networks and points out the challenges and open problems that should be overcome in future solutions in this area.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133667503","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/ICSRS48664.2019.8987617
Chuanhai Chen, Junqi Long, H. Tian, Zhaojun Yang, Shizheng Li, Xinda Zhou, Dachuan Wang
The failures of heavy-duty machine tool was mainly on the hydraulic system and caused by oil contamination. Aim at the problem, the trend change test of oil contamination have been carried out. After the time domain analysis on test data of oil sample, the dimensional parameters of particle numbers was obtained. Through the analysis by Q-Q plot on dimensional parameters, it can be seen that the degradation data of contaminated particles obey the normal distribution. Hydraulic component was summarized into three categories, pipeline, valve and filter. The blockage of pipeline and valve was studied by the particle number about 5μm. The wear of pipeline and valve was studied by the particle number larger than 15μm. The blockage of filter was studied by particles with the similar filtering accuracy. The threshold of the particle number was set according to the 20/17 level of ISO4406 standard. Reliability models of various components for a single failure mode was established based on the degradation path. The reliability model under multiple failure modes was fused by the former model.
{"title":"Reliability Modeling for Hydraulic Components of Heavy Duty Machine Tools Based on Degradation Path for Oil Contamination","authors":"Chuanhai Chen, Junqi Long, H. Tian, Zhaojun Yang, Shizheng Li, Xinda Zhou, Dachuan Wang","doi":"10.1109/ICSRS48664.2019.8987617","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987617","url":null,"abstract":"The failures of heavy-duty machine tool was mainly on the hydraulic system and caused by oil contamination. Aim at the problem, the trend change test of oil contamination have been carried out. After the time domain analysis on test data of oil sample, the dimensional parameters of particle numbers was obtained. Through the analysis by Q-Q plot on dimensional parameters, it can be seen that the degradation data of contaminated particles obey the normal distribution. Hydraulic component was summarized into three categories, pipeline, valve and filter. The blockage of pipeline and valve was studied by the particle number about 5μm. The wear of pipeline and valve was studied by the particle number larger than 15μm. The blockage of filter was studied by particles with the similar filtering accuracy. The threshold of the particle number was set according to the 20/17 level of ISO4406 standard. Reliability models of various components for a single failure mode was established based on the degradation path. The reliability model under multiple failure modes was fused by the former model.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114851958","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/ICSRS48664.2019.8987629
L. Felsberger, B. Todd, D. Kranzlmüller
Optimization of operations and maintenance activities in factories was estimated to have a global economic potential of 1.2 to 3.7 trillion USD by recent studies. Digital twins offer a framework to achieve such optimization by studying potential improvements in the virtual space before applying them to the real world. We studied the use of a digital twin based on a general model of system failure behaviour for maintenance optimization by combining existing methodologies into a general framework. Applying it to a real-world power converter use case, we identified either reactive or preventive maintenance to be more cost-effective depending on the operating conditions. This allowed to predict optimal maintenance for existing and future systems.
{"title":"Power Converter Maintenance Optimization Using a Model-Based Digital Reliability Twin Paradigm","authors":"L. Felsberger, B. Todd, D. Kranzlmüller","doi":"10.1109/ICSRS48664.2019.8987629","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987629","url":null,"abstract":"Optimization of operations and maintenance activities in factories was estimated to have a global economic potential of 1.2 to 3.7 trillion USD by recent studies. Digital twins offer a framework to achieve such optimization by studying potential improvements in the virtual space before applying them to the real world. We studied the use of a digital twin based on a general model of system failure behaviour for maintenance optimization by combining existing methodologies into a general framework. Applying it to a real-world power converter use case, we identified either reactive or preventive maintenance to be more cost-effective depending on the operating conditions. This allowed to predict optimal maintenance for existing and future systems.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127270538","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/ICSRS48664.2019.8987702
Soheila Sheikh Bahaei, B. Gallina
With the emergence of new technologies such as augmented reality in socio-technical systems, traditional risk assessment methods may fail to have a comprehensive system modelling, because these technologies extend human's capabilities, which might introduce new types of human failures caused by failing these extended capabilities and new types of faults leading to human failures. Current state-of-the-art modelling techniques do not contemplate these capabilities and augmented reality-caused faults leading to human failures. In our previous work, we proposed an extension for modelling safety-critical socio-technical systems, to model augmented reality-extended humans by using a taxonomy that contains AR-specific human's failure behavior. In this paper, we continue our extension by investigating faults leading to human failures including faults because of augmented reality. Our extension builds on top of a metamodel for modelling socio-technical component-based systems, named SafeConcert. We illustrate our extension on two fictitious but credible systems taken from air traffic control and rail industry. In order to model augmented reality-equipped socio-technical systems, we need to consider human and organization as parts of the system and augmented reality as a technology used in the system.
{"title":"Extending SafeConcert for Modelling Augmented Reality-equipped Socio-technical Systems*","authors":"Soheila Sheikh Bahaei, B. Gallina","doi":"10.1109/ICSRS48664.2019.8987702","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987702","url":null,"abstract":"With the emergence of new technologies such as augmented reality in socio-technical systems, traditional risk assessment methods may fail to have a comprehensive system modelling, because these technologies extend human's capabilities, which might introduce new types of human failures caused by failing these extended capabilities and new types of faults leading to human failures. Current state-of-the-art modelling techniques do not contemplate these capabilities and augmented reality-caused faults leading to human failures. In our previous work, we proposed an extension for modelling safety-critical socio-technical systems, to model augmented reality-extended humans by using a taxonomy that contains AR-specific human's failure behavior. In this paper, we continue our extension by investigating faults leading to human failures including faults because of augmented reality. Our extension builds on top of a metamodel for modelling socio-technical component-based systems, named SafeConcert. We illustrate our extension on two fictitious but credible systems taken from air traffic control and rail industry. In order to model augmented reality-equipped socio-technical systems, we need to consider human and organization as parts of the system and augmented reality as a technology used in the system.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458010","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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