Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688873
E. Fragnière, Randolf Ramseyer, P. Bomme
The digitalization of business processes implies important changes in the organization of air traffic control companies. In this research, we have developed an original critical incident drill approach based on service design techniques combined with risk management. The aim is to take into account the co-production elements inherent to any complex service system and also the necessary interplay between explicit (information) and tacit (know-how) knowledge. The critical incident drill begins with a preparation where immersion episodes and modeling of new digital processes by the service blueprint allows to imagine coherent and coordinated interactions between human expertise, information system and any external IT provider. Once ready the new process is simulated in real size and conditions. Co-creation between stakeholders makes it possible to conduct a relevant analysis of the risks as well as opportunities for improvement. This approach has been used successfully by skyguide to test and implement new air traffic management digitalized processes.
{"title":"A Critical Incident Drill Based on Service Design to Improve Digitization Acceptance of Processes in Air Traffic Management an Organizational Test Conducted at Skyguide Involving an External IT Provider","authors":"E. Fragnière, Randolf Ramseyer, P. Bomme","doi":"10.1109/ICSRS.2018.8688873","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688873","url":null,"abstract":"The digitalization of business processes implies important changes in the organization of air traffic control companies. In this research, we have developed an original critical incident drill approach based on service design techniques combined with risk management. The aim is to take into account the co-production elements inherent to any complex service system and also the necessary interplay between explicit (information) and tacit (know-how) knowledge. The critical incident drill begins with a preparation where immersion episodes and modeling of new digital processes by the service blueprint allows to imagine coherent and coordinated interactions between human expertise, information system and any external IT provider. Once ready the new process is simulated in real size and conditions. Co-creation between stakeholders makes it possible to conduct a relevant analysis of the risks as well as opportunities for improvement. This approach has been used successfully by skyguide to test and implement new air traffic management digitalized processes.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717271","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 : 2018-11-01DOI: 10.1109/icsrs.2018.8688855
{"title":"Proceedings 2018 3rd International Conference on System Reliability and Safety ICSRS 2018","authors":"","doi":"10.1109/icsrs.2018.8688855","DOIUrl":"https://doi.org/10.1109/icsrs.2018.8688855","url":null,"abstract":"","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124309688","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688857
Z. Jian, Yuan-Hang Wang, Linghui Meng, Xiaojian Ding, Jian-Feng Yang, Xiaobing Li
The flight safety of UAV has posed a serious threat to public security. The abnormality of any component may cause the whole rotorcraft out of control even crash. To detect even control the potential failure of UAV, it makes great sense to trace the real-time status of UAV. This paper addresses the issue of the online monitoring and alarm system for multi-rotor UAV. The framework of the system, design of the acquisition board and method for data collection are specifically discussed. Also, the system prototype for airborne is developed based on DSP+FPGA platform. Experimental results show that the system can effectively realize the online status monitoring of multi-rotor UAV.
{"title":"An On-Line Monitoring and Warning System of Multi-Rotor VAV","authors":"Z. Jian, Yuan-Hang Wang, Linghui Meng, Xiaojian Ding, Jian-Feng Yang, Xiaobing Li","doi":"10.1109/ICSRS.2018.8688857","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688857","url":null,"abstract":"The flight safety of UAV has posed a serious threat to public security. The abnormality of any component may cause the whole rotorcraft out of control even crash. To detect even control the potential failure of UAV, it makes great sense to trace the real-time status of UAV. This paper addresses the issue of the online monitoring and alarm system for multi-rotor UAV. The framework of the system, design of the acquisition board and method for data collection are specifically discussed. Also, the system prototype for airborne is developed based on DSP+FPGA platform. Experimental results show that the system can effectively realize the online status monitoring of multi-rotor UAV.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123879474","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688871
Zhonghao Zhao, Xiaoyuan Yan, B. Xiao, Xiaotong Sun
In an actual industrial environment, many systems need to perform multiple missions in succession. In order to ensure the success of next mission, the components require maintenance in maintenance breaks. In this case, there may not be enough time and cost to repair every component. Therefore, selective maintenance is required between two consecutive missions. In a multi-state system, each component also has multiple working states, which makes many maintenance options during maintenance break possible. But different maintenance workers will affect the states of components after maintenance. The purpose of this paper is to calculate the human error rate for maintenance of multi-state systems and give the reliability of performing next mission. For the selective maintenance of multi-state systems considering human reliability, with constraints of maintenance time and cost, an optimization model with the goal of maximum system reliability is presented, and the optimal selective maintenance strategy is given by genetic algorithm (GA). Finally, an example is presented to illustrate the effect of human reliability on the final maintenance strategy.
{"title":"Selective Maintenance Modeling for a Multi-State System Considering Human Reliability","authors":"Zhonghao Zhao, Xiaoyuan Yan, B. Xiao, Xiaotong Sun","doi":"10.1109/ICSRS.2018.8688871","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688871","url":null,"abstract":"In an actual industrial environment, many systems need to perform multiple missions in succession. In order to ensure the success of next mission, the components require maintenance in maintenance breaks. In this case, there may not be enough time and cost to repair every component. Therefore, selective maintenance is required between two consecutive missions. In a multi-state system, each component also has multiple working states, which makes many maintenance options during maintenance break possible. But different maintenance workers will affect the states of components after maintenance. The purpose of this paper is to calculate the human error rate for maintenance of multi-state systems and give the reliability of performing next mission. For the selective maintenance of multi-state systems considering human reliability, with constraints of maintenance time and cost, an optimization model with the goal of maximum system reliability is presented, and the optimal selective maintenance strategy is given by genetic algorithm (GA). Finally, an example is presented to illustrate the effect of human reliability on the final maintenance strategy.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"52 206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952229","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688832
M. D. Vedova, P. Berri, Stefano Re
Metaheuristic bio inspired algorithms are a wide class of optimization algorithms, which recently saw a significant growth due to its effectiveness for the solution of complex problems. In this preliminary work, we assess the performance of two of these algorithms - Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) - for the prognostic analysis of an electro-mechanical flight control actuator, powered by a Brushless DC (BLDC) trapezoidal motor. We focus on the first step of the prognostic process, consisting in an early Fault Detection and Identification (FDI); our model-based strategy consists in using an optimization algorithm to approximate the output of the physical system with a computationally light Monitor Model.
{"title":"Metaheuristic Bio-Inspired Algorithms for Prognostics: Application to on-Board Electromechanical Actuators","authors":"M. D. Vedova, P. Berri, Stefano Re","doi":"10.1109/ICSRS.2018.8688832","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688832","url":null,"abstract":"Metaheuristic bio inspired algorithms are a wide class of optimization algorithms, which recently saw a significant growth due to its effectiveness for the solution of complex problems. In this preliminary work, we assess the performance of two of these algorithms - Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) - for the prognostic analysis of an electro-mechanical flight control actuator, powered by a Brushless DC (BLDC) trapezoidal motor. We focus on the first step of the prognostic process, consisting in an early Fault Detection and Identification (FDI); our model-based strategy consists in using an optimization algorithm to approximate the output of the physical system with a computationally light Monitor Model.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483994","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688872
Xiaopeng Xi, Donghua Zhou, Maoyin Chen
Non-Markovian stochastic degradation processes exist extensively in the practical industrial systems. For instance, a blast furnace should be operated continuously subject to harsh conditions of high temperature, sulfuration, and nitration, resulting in biased random walks among the degrading performance variables. This phenomenon can be well interpreted as the memory effects, which implies the future states may rely on each of the past ones. The other tough issue is that the degradation processes would be contaminated with measurement noises from unidentified sources. Large level of measurement uncertainty seems adverse to the accurate extraction of non-Markovian diffusions, and hence impacts the prognostics of the system. To overcome these difficulties, we mainly present a remaining useful life (RUL) prediction method on the framework of a state space model incorporating both the fractional Brownian motion (FBM) and the Gaussian noise. Attributing to the fractal property of longterm dependency, FBM naturally adapts to the non-Markovian degradation modeling. Considering the nonlinearity, a variant form of sigmoid function is also adopted as the fixed drift item. The hidden states and the unknown parameters are estimated synchronously using a composite identification algorithm, while the RUL distributions are derived by a Monte Carlo method. A simulation example further verifies the validity of the proposed prognostics scheme.
{"title":"Prognostics of Non-Markovian Degradation Processes with Fractal Property and Measurement Uncertainty","authors":"Xiaopeng Xi, Donghua Zhou, Maoyin Chen","doi":"10.1109/ICSRS.2018.8688872","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688872","url":null,"abstract":"Non-Markovian stochastic degradation processes exist extensively in the practical industrial systems. For instance, a blast furnace should be operated continuously subject to harsh conditions of high temperature, sulfuration, and nitration, resulting in biased random walks among the degrading performance variables. This phenomenon can be well interpreted as the memory effects, which implies the future states may rely on each of the past ones. The other tough issue is that the degradation processes would be contaminated with measurement noises from unidentified sources. Large level of measurement uncertainty seems adverse to the accurate extraction of non-Markovian diffusions, and hence impacts the prognostics of the system. To overcome these difficulties, we mainly present a remaining useful life (RUL) prediction method on the framework of a state space model incorporating both the fractional Brownian motion (FBM) and the Gaussian noise. Attributing to the fractal property of longterm dependency, FBM naturally adapts to the non-Markovian degradation modeling. Considering the nonlinearity, a variant form of sigmoid function is also adopted as the fixed drift item. The hidden states and the unknown parameters are estimated synchronously using a composite identification algorithm, while the RUL distributions are derived by a Monte Carlo method. A simulation example further verifies the validity of the proposed prognostics scheme.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133790904","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688856
A. N. El-deen, A. Elbaset, Meshari D. Alanazi, A. Alaboudy, H. Ziedan
This paper is aimed to design and study the performance of shunt active power filter based on Particle Swarm Optimization Technique (PSO) which is used to find out the optimal gains of PI controllers. PSO technique is designed to control the position and velocity of updating particles till reaches the optimum set. Modified synchronous reference frame theory is implemented to excerpt the reference current waveform. Intensive simulations are conducted based on Matlab/Simulation Tool. Design of shunt active power filter is agree with the proposed results. Optimal control circuit is quite superior as it is more effective even with the presence of non-linear loads and has a reasonably better dynamic response.
{"title":"Particle Swarm Optimization Technique for Shunt Active Power Filter","authors":"A. N. El-deen, A. Elbaset, Meshari D. Alanazi, A. Alaboudy, H. Ziedan","doi":"10.1109/ICSRS.2018.8688856","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688856","url":null,"abstract":"This paper is aimed to design and study the performance of shunt active power filter based on Particle Swarm Optimization Technique (PSO) which is used to find out the optimal gains of PI controllers. PSO technique is designed to control the position and velocity of updating particles till reaches the optimum set. Modified synchronous reference frame theory is implemented to excerpt the reference current waveform. Intensive simulations are conducted based on Matlab/Simulation Tool. Design of shunt active power filter is agree with the proposed results. Optimal control circuit is quite superior as it is more effective even with the presence of non-linear loads and has a reasonably better dynamic response.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129619107","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}
Coast radio station plays an important role in ensuring the safety of navigation of ships at sea, but there is little research on the evaluation of its communication as a system. Especially, the regularity of equipment renewal time of coast radio station is not strong, and the possibility of equipment failure is quite different, which brings great challenge to the evaluation of overall operational reliability of coast radio station. This study attempts to identify the factors that can be quantified to establish a communication reliability evaluation model for coast radio station from the perspective of experience of its operation. Sixty-two factors were selected mainly considering the working experience of experts, managers and workers. These were categorized into four types factors: service quality, equipment state, human resources and external evaluation. the analytical hierarchical process (AHP) methodology was used for estimating and ranking the factors. The results show that the two most important categories are equipment state and business quality.
{"title":"A Communication Reliability Evaluation System for Coast Radio Station Using AHP","authors":"Jian Liu, Qing Liu, Haokun Lei, Peng Tao, Tianxi Liang","doi":"10.1109/ICSRS.2018.8688852","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688852","url":null,"abstract":"Coast radio station plays an important role in ensuring the safety of navigation of ships at sea, but there is little research on the evaluation of its communication as a system. Especially, the regularity of equipment renewal time of coast radio station is not strong, and the possibility of equipment failure is quite different, which brings great challenge to the evaluation of overall operational reliability of coast radio station. This study attempts to identify the factors that can be quantified to establish a communication reliability evaluation model for coast radio station from the perspective of experience of its operation. Sixty-two factors were selected mainly considering the working experience of experts, managers and workers. These were categorized into four types factors: service quality, equipment state, human resources and external evaluation. the analytical hierarchical process (AHP) methodology was used for estimating and ranking the factors. The results show that the two most important categories are equipment state and business quality.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117132089","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688851
M. Batteux, T. Prosvirnova, A. Rauzy, Liu Yang
In this article, we show how phased-mission systems can be described and assessed by means of the AltaRica 3.0 technology. AltaRica 3.0 is a formal, object-oriented modeling language dedicated to probabilitic risk/safety analyses. We illustrate here its power by introducing a modeling pattern making it possible to represent phased-mission systems in an elegant way. This modeling pattern fits with the CESAMES framework for systems engineering. We show that AltaRica 3.0 models for phased-mission systems can be assessed efficiently by means of the stepwise simulator and the stochastic simulator we developed for the language.
{"title":"Reliability Assessment of Phased-Mission Systems with AltaRica 3.0","authors":"M. Batteux, T. Prosvirnova, A. Rauzy, Liu Yang","doi":"10.1109/ICSRS.2018.8688851","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688851","url":null,"abstract":"In this article, we show how phased-mission systems can be described and assessed by means of the AltaRica 3.0 technology. AltaRica 3.0 is a formal, object-oriented modeling language dedicated to probabilitic risk/safety analyses. We illustrate here its power by introducing a modeling pattern making it possible to represent phased-mission systems in an elegant way. This modeling pattern fits with the CESAMES framework for systems engineering. We show that AltaRica 3.0 models for phased-mission systems can be assessed efficiently by means of the stepwise simulator and the stochastic simulator we developed for the language.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123917514","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 : 2018-11-01DOI: 10.1109/ICSRS.2018.8688723
Lizhi Wu, Shigang Guo
With the rapid development of the global economy, the building fire prevention design must transform from the traditional “prescription” design to the scientific safety engineering design at the technical level, and the core of the transformation is fire risk assessment. In this paper, various building fire risk assessment methods were divided into three categories: qualitative methods, semi-quantitative methods and quantitative methods. By comparing different methods from the sphere of application, considerations, representation of results, subjectivity of results, advantages, disadvantages and so on. Finally, the conclusion of how to choose the building fire risk assessment method and next research orientation can be drawn.
{"title":"Comparison and Analysis of Building Fire Risk Assessment Methods","authors":"Lizhi Wu, Shigang Guo","doi":"10.1109/ICSRS.2018.8688723","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688723","url":null,"abstract":"With the rapid development of the global economy, the building fire prevention design must transform from the traditional “prescription” design to the scientific safety engineering design at the technical level, and the core of the transformation is fire risk assessment. In this paper, various building fire risk assessment methods were divided into three categories: qualitative methods, semi-quantitative methods and quantitative methods. By comparing different methods from the sphere of application, considerations, representation of results, subjectivity of results, advantages, disadvantages and so on. Finally, the conclusion of how to choose the building fire risk assessment method and next research orientation can be drawn.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125465517","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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