Pub Date : 2019-11-01DOI: 10.1109/ICSRS48664.2019.8987674
M. Mauro, G. Galatro, M. Longo, F. Postiglione, M. Tambasco
As of today, telecommunication providers are exploiting the possibilities offered by the cloud paradigm to efficiently decouple physical network resources, like hardware equipment, optical interfaces and cables, from offered services, for instance multimedia content delivery and data storage. Among technologies conceived to implement this paradigm, containerization stands out. It can be considered as an evolution of classic virtualization, where software instances called containers are designed to offer specific network functionalities by relying on a separate infrastructure composed of virtual machines and hardware. In line with this new trend, we characterize, from an availability viewpoint, an IP Multimedia Subsystem (IMS) architecture deployed in a containerized environment (dubbed cIMS), which represents a pivotal part of novel network architectures such as 5G. Firstly, we model the availability of cIMS by employing both Reliability Block Diagram (RBD), to capture logical dependencies among cIMS nodes, and Stochastic Reward Networks (SRN), to characterize individually the probabilistic behavior of each node. Then, also supported by an ad-hoc automated procedure, we carry out an experimental assessment of a typical telecommunication network service satisfying a desired availability constraint, whose results are some feasible cIMS configurations that can be deployed.
{"title":"Availability Analysis of IP Multimedia Subsystem in Cloud Environments","authors":"M. Mauro, G. Galatro, M. Longo, F. Postiglione, M. Tambasco","doi":"10.1109/ICSRS48664.2019.8987674","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987674","url":null,"abstract":"As of today, telecommunication providers are exploiting the possibilities offered by the cloud paradigm to efficiently decouple physical network resources, like hardware equipment, optical interfaces and cables, from offered services, for instance multimedia content delivery and data storage. Among technologies conceived to implement this paradigm, containerization stands out. It can be considered as an evolution of classic virtualization, where software instances called containers are designed to offer specific network functionalities by relying on a separate infrastructure composed of virtual machines and hardware. In line with this new trend, we characterize, from an availability viewpoint, an IP Multimedia Subsystem (IMS) architecture deployed in a containerized environment (dubbed cIMS), which represents a pivotal part of novel network architectures such as 5G. Firstly, we model the availability of cIMS by employing both Reliability Block Diagram (RBD), to capture logical dependencies among cIMS nodes, and Stochastic Reward Networks (SRN), to characterize individually the probabilistic behavior of each node. Then, also supported by an ad-hoc automated procedure, we carry out an experimental assessment of a typical telecommunication network service satisfying a desired availability constraint, whose results are some feasible cIMS configurations that can be deployed.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"6 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":"129784666","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/ICSRS48664.2019.8987734
M. D. Vedova, P. Berri, G. Bonanno, P. Maggiore
Electro Hydraulic Actuators (EHAs) keep their role as the leading solution for the control of current generation primary flight control systems: the main reason can be found in their high power to weight ratio, much better than other comparable technologies. To enhance efficiency and reliability of modern EHAs, it is possible to leverage the diagnostics and prognostics disciplines; these two tools allow reducing life cycle costs without losing reliability, and provide the bases for health management of integrated systems, in compliance with regulations. This paper is focused on the development of a fault detection algorithm able to identify the early signs of EHA faults, through the recognition of their precursors and related degradation patterns. Our methodology provides the advantage of anticipating incoming failures, triggering proper alerts for the maintenance team to schedule adequate corrective actions, such as the replacement of the degraded component. A new EHA model-based fault detection and identification (FDI) method is proposed; it is based on deterministic and heuristic solvers able to converge to the actual state of wear of the tested actuator. Three different progressive failure modes were chosen as test cases for the proposed FDI strategy: clogging of the first stage of the flapper-nozzle valve, spool-sleeve friction increase, and jack-cylinder friction increase. A dedicated simulation model was created for the purpose. The results highlighted that the method is adequate in robustness, since EHA malfunctions were identified with a low occurrence of false alarms or missed failures.
{"title":"Fault Detection and Identification Method Based on Genetic Algorithms to Monitor Degradation of Electrohydraulic Servomechanisms","authors":"M. D. Vedova, P. Berri, G. Bonanno, P. Maggiore","doi":"10.1109/ICSRS48664.2019.8987734","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987734","url":null,"abstract":"Electro Hydraulic Actuators (EHAs) keep their role as the leading solution for the control of current generation primary flight control systems: the main reason can be found in their high power to weight ratio, much better than other comparable technologies. To enhance efficiency and reliability of modern EHAs, it is possible to leverage the diagnostics and prognostics disciplines; these two tools allow reducing life cycle costs without losing reliability, and provide the bases for health management of integrated systems, in compliance with regulations. This paper is focused on the development of a fault detection algorithm able to identify the early signs of EHA faults, through the recognition of their precursors and related degradation patterns. Our methodology provides the advantage of anticipating incoming failures, triggering proper alerts for the maintenance team to schedule adequate corrective actions, such as the replacement of the degraded component. A new EHA model-based fault detection and identification (FDI) method is proposed; it is based on deterministic and heuristic solvers able to converge to the actual state of wear of the tested actuator. Three different progressive failure modes were chosen as test cases for the proposed FDI strategy: clogging of the first stage of the flapper-nozzle valve, spool-sleeve friction increase, and jack-cylinder friction increase. A dedicated simulation model was created for the purpose. The results highlighted that the method is adequate in robustness, since EHA malfunctions were identified with a low occurrence of false alarms or missed failures.","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":"127285611","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/ICSRS48664.2019.8987586
Soheila Sheikh Bahaei, B. Gallina, K. Laumann, M. R. Skogstad
With the ultimate purpose of assessing risk within augmented reality-equipped socio-technical systems, in our previous work, we systematically organized and extended state-of-the-art taxonomies of human failures to include the failures related to the extended capabilities enabled by AR technologies. The result of our organization and extension was presented in form of a feature diagram. Current state-of-the-art taxonomies of faults leading to human failures do not consider augmented reality effects and the new types of faults leading to human failures. Thus, in this paper, we develop our previous work further and review state-of-the-art taxonomies of faults leading to human failures in order to: 1) organize them systematically, and 2) include the new faults, which might be due to AR. Coherently with what done previously, we use a feature diagram to represent the commonalities and variabilities of the different taxonomies and we introduce new features to represent the new AR-caused faults. Finally, an AR-equipped socio-technical system is presented and used to discuss about the usefulness of our taxonomy.
{"title":"Effect of Augmented Reality on Faults Leading to Human Failures in Socio-technical Systems*","authors":"Soheila Sheikh Bahaei, B. Gallina, K. Laumann, M. R. Skogstad","doi":"10.1109/ICSRS48664.2019.8987586","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987586","url":null,"abstract":"With the ultimate purpose of assessing risk within augmented reality-equipped socio-technical systems, in our previous work, we systematically organized and extended state-of-the-art taxonomies of human failures to include the failures related to the extended capabilities enabled by AR technologies. The result of our organization and extension was presented in form of a feature diagram. Current state-of-the-art taxonomies of faults leading to human failures do not consider augmented reality effects and the new types of faults leading to human failures. Thus, in this paper, we develop our previous work further and review state-of-the-art taxonomies of faults leading to human failures in order to: 1) organize them systematically, and 2) include the new faults, which might be due to AR. Coherently with what done previously, we use a feature diagram to represent the commonalities and variabilities of the different taxonomies and we introduce new features to represent the new AR-caused faults. Finally, an AR-equipped socio-technical system is presented and used to discuss about the usefulness of our taxonomy.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"22 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":"127850419","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/ICSRS48664.2019.8987685
Anselm Klose, C. Bramsiepe, Stefanie Szmais, Christian Schäfer, N. Krink, W. Welscher, L. Urbas
With modularization of modern process plants, an acceleration in design and engineering is achieved. This development also affects the safety assessment and changes the workflow. Compared to conventional process plants this is expressed especially in regards to store and exchange safety related information between manufacturer and owner/operator. Current risk-assessment techniques fall short to support the advantages of modular process design and production due to the lack of flexibility, as well as missing methods for transformation and transportation of information. To compensate this, current models of safety analysis methods, especially HAZOP (Hazard and Operability) studies, are analyzed and extended. Focus of the analysis is the reuse and integration of previous knowledge similar to the method of the modularization. This research presents a workflow to close the gaps of current risk analysis to meet the changing requirements of modularization. This is done by creating an interface for connecting different HAZOP studies. The specifications are represented in an information model. The concepts of the workflow have been shown on exemplary HAZOP studies.
{"title":"Safety-Lifecycle of Modular Process Plants - Information Model and Workflow","authors":"Anselm Klose, C. Bramsiepe, Stefanie Szmais, Christian Schäfer, N. Krink, W. Welscher, L. Urbas","doi":"10.1109/ICSRS48664.2019.8987685","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987685","url":null,"abstract":"With modularization of modern process plants, an acceleration in design and engineering is achieved. This development also affects the safety assessment and changes the workflow. Compared to conventional process plants this is expressed especially in regards to store and exchange safety related information between manufacturer and owner/operator. Current risk-assessment techniques fall short to support the advantages of modular process design and production due to the lack of flexibility, as well as missing methods for transformation and transportation of information. To compensate this, current models of safety analysis methods, especially HAZOP (Hazard and Operability) studies, are analyzed and extended. Focus of the analysis is the reuse and integration of previous knowledge similar to the method of the modularization. This research presents a workflow to close the gaps of current risk analysis to meet the changing requirements of modularization. This is done by creating an interface for connecting different HAZOP studies. The specifications are represented in an information model. The concepts of the workflow have been shown on exemplary HAZOP studies.","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":"129025484","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/ICSRS48664.2019.8987596
A. Erduman, B. Uzunoğlu
Generation expansion of wind power plants is known to span optimization of several different physical scales. On one hand, there is the power system that needs to be duly considered. Power system has different voltage level scales that eventually leads to taxonomy of transmission as well as distribution classification of the power system. On the other hand, wind power based generation follows spatial atmospheric scales that eventually leads to mesoscale and microscale classification of wind power generation. Consequently, optimal expansion of wind farm generation addresses different scales at the level of not only the power system, but also at the level of wind power generation. In addition there are impacts of disaster parameters at spatial-temporal levels, such as earthquakes, something that this article will also focus on. The objective of this study is to investigate a topic of optimization for wind farms relatively less researched in the context of power systems that is wind farm generation expansion at mesoscale level while considering the costs inflicted by earthquake disasters. This is in contrast to generation expansion optimization at microscale level executed for each individual single turbine that does not really need to address generation expansion connection of wind farms in accordance with several different busbars. The mesoscale optimization will be achieved by leveraging the linear optimization method of Benders' Decomposition. Meanwhile the constraints of optimization will be the power system.
{"title":"Optimized Mesoscale Wind Farm Placement Constrained by Power System Including Earthquake Damage Costs","authors":"A. Erduman, B. Uzunoğlu","doi":"10.1109/ICSRS48664.2019.8987596","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987596","url":null,"abstract":"Generation expansion of wind power plants is known to span optimization of several different physical scales. On one hand, there is the power system that needs to be duly considered. Power system has different voltage level scales that eventually leads to taxonomy of transmission as well as distribution classification of the power system. On the other hand, wind power based generation follows spatial atmospheric scales that eventually leads to mesoscale and microscale classification of wind power generation. Consequently, optimal expansion of wind farm generation addresses different scales at the level of not only the power system, but also at the level of wind power generation. In addition there are impacts of disaster parameters at spatial-temporal levels, such as earthquakes, something that this article will also focus on. The objective of this study is to investigate a topic of optimization for wind farms relatively less researched in the context of power systems that is wind farm generation expansion at mesoscale level while considering the costs inflicted by earthquake disasters. This is in contrast to generation expansion optimization at microscale level executed for each individual single turbine that does not really need to address generation expansion connection of wind farms in accordance with several different busbars. The mesoscale optimization will be achieved by leveraging the linear optimization method of Benders' Decomposition. Meanwhile the constraints of optimization will be the power system.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"28 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":"133110323","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/ICSRS48664.2019.8987699
Mehdi Saman Azari, Francesco Flammini, M. Caporuscio, S. Santini
Fault diagnosis (FD) of once-through Benson boilers, as a crucial equipment of many thermal power plants, is of paramount importance to guarantee continuous performance. In this study, a new fault diagnosis methodology based on data-driven methods is presented to diagnose faults in once-through Benson boilers. The present study tackles this issue by adopting a combination of data-driven methods to improve the robustness of FD blocks. For this purpose, one-class versions of minimum spanning tree and K-means algorithms are employed to handle the strong interaction between measurements and part load operation and also to reduce computation time and system training error. Furthermore, an adaptive neuro-fuzzy inference system algorithm is adopted to improve accuracy and robustness of the proposed fault diagnosing system by fusion of the output of minimum spanning tree (MST) and K-means algorithms. Performance of the presented scheme against six major faults is then assessed by analyzing several test scenario.
{"title":"Data-Driven Fault Diagnosis of Once-through Benson Boilers","authors":"Mehdi Saman Azari, Francesco Flammini, M. Caporuscio, S. Santini","doi":"10.1109/ICSRS48664.2019.8987699","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987699","url":null,"abstract":"Fault diagnosis (FD) of once-through Benson boilers, as a crucial equipment of many thermal power plants, is of paramount importance to guarantee continuous performance. In this study, a new fault diagnosis methodology based on data-driven methods is presented to diagnose faults in once-through Benson boilers. The present study tackles this issue by adopting a combination of data-driven methods to improve the robustness of FD blocks. For this purpose, one-class versions of minimum spanning tree and K-means algorithms are employed to handle the strong interaction between measurements and part load operation and also to reduce computation time and system training error. Furthermore, an adaptive neuro-fuzzy inference system algorithm is adopted to improve accuracy and robustness of the proposed fault diagnosing system by fusion of the output of minimum spanning tree (MST) and K-means algorithms. Performance of the presented scheme against six major faults is then assessed by analyzing several test scenario.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"21 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":"128999434","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/ICSRS48664.2019.8987664
Hailin Wu, Lei Guan
Regarding the problem of estimating the location of leakage source in the process of gas leakage of hazardous chemicals, this research proposed a traceability algorithm based on ellipse fitting and centroid trajectory. Firstly, the diffusion of hazardous chemicals gas leakage was simulated based on Gaussian Puff Model in the specific circumstances at different time. Secondly, according to the elliptical distribution of the isoconcentration lines, the centroids of isoconcentration lines at each time were determined by fitting lines using least square method. Then, the linear regression was applied to fit these centroids to get the backtracking line. In addition, because of the characteristic that the centroids of these leakage isoconcentration lines satisfied the linear relationship in the time series, the fast determination of the leakage source point was figured out on the backtracking line, then the specific location of leakage source was found. Taking H2S leakage and diffusion under different wind directions as examples, the results showed that the algorithm is relatively fast, easy to calculate with high precision and accuracy. And it can analyze and fit the backtracking line of leakage with fewer data points to predict the location of the leakage source quickly. This research provides the technical support for emergency decision- making of hazardous chemicals gas leakage, also provides theoretical basis for initial values selection of genetic algorithm, ant colony algorithm and other related leakage backtracking algorithms.
{"title":"The Research of Traceability Algorithm for Hazardous Gas Leakage Based on the Trajectory of Centroids","authors":"Hailin Wu, Lei Guan","doi":"10.1109/ICSRS48664.2019.8987664","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987664","url":null,"abstract":"Regarding the problem of estimating the location of leakage source in the process of gas leakage of hazardous chemicals, this research proposed a traceability algorithm based on ellipse fitting and centroid trajectory. Firstly, the diffusion of hazardous chemicals gas leakage was simulated based on Gaussian Puff Model in the specific circumstances at different time. Secondly, according to the elliptical distribution of the isoconcentration lines, the centroids of isoconcentration lines at each time were determined by fitting lines using least square method. Then, the linear regression was applied to fit these centroids to get the backtracking line. In addition, because of the characteristic that the centroids of these leakage isoconcentration lines satisfied the linear relationship in the time series, the fast determination of the leakage source point was figured out on the backtracking line, then the specific location of leakage source was found. Taking H2S leakage and diffusion under different wind directions as examples, the results showed that the algorithm is relatively fast, easy to calculate with high precision and accuracy. And it can analyze and fit the backtracking line of leakage with fewer data points to predict the location of the leakage source quickly. This research provides the technical support for emergency decision- making of hazardous chemicals gas leakage, also provides theoretical basis for initial values selection of genetic algorithm, ant colony algorithm and other related leakage backtracking algorithms.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"30 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":"115655354","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/ICSRS48664.2019.8987656
Tobias Schmid, Stefanie Schraufstetter, S. Wagner, Dominik Hellhake
For highly automated driving, fail-operational driving systems are indispensable to prevent hazardous situations in case of an E/E failure. That requires redundant system design and enhanced safety analysis for ensuring fault tolerance and further operation. Existing work addresses attributes of fail-operational systems relevant for safety, however the sufficiency of safety analysis has not been investigated. We therefore aim to identify relevant safety aspects for fail-operational systems in ISO 26262 which require analysis to ensure compliance. Further we deduce a fault model for a fail-operational driving system containing the relevant failure modes. By consolidating the fault-model and ISO 26262 into a safety argumentation using the goal structure notation we provide a safety argumentation for a fail-operational driving system sufficient according to ISO 26262. Whereas conventional fail-silent systems can be analysed on the sub-system level, fail-operational systems requires overarching analysis on the system level. We therefore determine objectives of this analysis, structure those according to the necessary level and determine the relations given by mutual contributions. With our work, we provide a framework for safety argumentation of a fail-operational driving system in compliance with ISO 26262 regarding safety analysis.
{"title":"A Safety Argumentation for Fail-Operational Automotive Systems in Compliance with ISO 26262","authors":"Tobias Schmid, Stefanie Schraufstetter, S. Wagner, Dominik Hellhake","doi":"10.1109/ICSRS48664.2019.8987656","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987656","url":null,"abstract":"For highly automated driving, fail-operational driving systems are indispensable to prevent hazardous situations in case of an E/E failure. That requires redundant system design and enhanced safety analysis for ensuring fault tolerance and further operation. Existing work addresses attributes of fail-operational systems relevant for safety, however the sufficiency of safety analysis has not been investigated. We therefore aim to identify relevant safety aspects for fail-operational systems in ISO 26262 which require analysis to ensure compliance. Further we deduce a fault model for a fail-operational driving system containing the relevant failure modes. By consolidating the fault-model and ISO 26262 into a safety argumentation using the goal structure notation we provide a safety argumentation for a fail-operational driving system sufficient according to ISO 26262. Whereas conventional fail-silent systems can be analysed on the sub-system level, fail-operational systems requires overarching analysis on the system level. We therefore determine objectives of this analysis, structure those according to the necessary level and determine the relations given by mutual contributions. With our work, we provide a framework for safety argumentation of a fail-operational driving system in compliance with ISO 26262 regarding safety analysis.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"183 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":"131610061","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/icsrs48664.2019.8987706
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icsrs48664.2019.8987706","DOIUrl":"https://doi.org/10.1109/icsrs48664.2019.8987706","url":null,"abstract":"","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"23 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":"122258638","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}
Automobile plays an indispensable role in people's daily life, and the frame, as the main bearing part of the automobile, always affects the performance of the automobile and people's driving safety. The reliability of the truck frame is an important part of the inspection of the automotive quality. Because the frame of light truck is a complex structure, the general reliability analysis methods such as first-order second-moment method and second-order second-moment method cannot accurately solve the reliability index of complex systems, while Monte Carlo simulation has a large amount of computation and low efficiency. Therefore, this paper proposes a technique for the reliability of the truck frame combining response surface methodology and advanced first-order second-moment method. In this method, the response surface methodology is employed to obtain the performance function of the truck frame and advanced first-order second-moment method is used to obtain the reliability of the truck frame. The reliability analysis results of the light truck frame show the feasibility and effectiveness of the proposed method.
{"title":"Reliability Analysis of the Light Truck Frame Based on Statics Structure and Response Surface Methodology","authors":"Chuanhai Chen, Junqi Long, H. Tian, Zhaojun Yang, Zhicheng Zhang, Xu Jia","doi":"10.1109/ICSRS48664.2019.8987670","DOIUrl":"https://doi.org/10.1109/ICSRS48664.2019.8987670","url":null,"abstract":"Automobile plays an indispensable role in people's daily life, and the frame, as the main bearing part of the automobile, always affects the performance of the automobile and people's driving safety. The reliability of the truck frame is an important part of the inspection of the automotive quality. Because the frame of light truck is a complex structure, the general reliability analysis methods such as first-order second-moment method and second-order second-moment method cannot accurately solve the reliability index of complex systems, while Monte Carlo simulation has a large amount of computation and low efficiency. Therefore, this paper proposes a technique for the reliability of the truck frame combining response surface methodology and advanced first-order second-moment method. In this method, the response surface methodology is employed to obtain the performance function of the truck frame and advanced first-order second-moment method is used to obtain the reliability of the truck frame. The reliability analysis results of the light truck frame show the feasibility and effectiveness of the proposed method.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"10 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":"115083128","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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