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.2018.8688855
{"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.2018.8688832
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.2018.8688871
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}
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.2018.8688840
Randolf Ramseyer, Francesco Cimmino, Lionel Emery, Sandra Grèzes, Vincent Grèzes, Benjamin Nanchen, Emilie Simon, E. Fragnière
In the mobility sector, a large number of new technologies such as autonomous vehicles (AVs) and services (e.g. carpooling) are emerging. AVs involve not only passengers, but also authorities, manufacturers, public transportation companies, law enforcement officials, drivers, pedestrians and shopkeepers. Applying phenomenology - the description of a phenomenon's live experience [1] - to this case of Mobility as a Service (MaaS) contributes to understanding its complexity and provides insights of users' perception of risk related to the AVs. This new technology brings many opportunities to improve our mobility system. Identified potential risks can affect the efficiency and the perception of the service. In this exploratory research, we have employed a technique called experimental phenomenology to identify these risks. The major advantage of this approach is to take into account the perception of passengers as a driver for design.
{"title":"Using Phenomenology to Assess Risk Perception of a New Technology in Public Transportation the Case of the Autonomous Vehicles as Mobility as a Service (MaaS) in Switzerland","authors":"Randolf Ramseyer, Francesco Cimmino, Lionel Emery, Sandra Grèzes, Vincent Grèzes, Benjamin Nanchen, Emilie Simon, E. Fragnière","doi":"10.1109/ICSRS.2018.8688840","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688840","url":null,"abstract":"In the mobility sector, a large number of new technologies such as autonomous vehicles (AVs) and services (e.g. carpooling) are emerging. AVs involve not only passengers, but also authorities, manufacturers, public transportation companies, law enforcement officials, drivers, pedestrians and shopkeepers. Applying phenomenology - the description of a phenomenon's live experience [1] - to this case of Mobility as a Service (MaaS) contributes to understanding its complexity and provides insights of users' perception of risk related to the AVs. This new technology brings many opportunities to improve our mobility system. Identified potential risks can affect the efficiency and the perception of the service. In this exploratory research, we have employed a technique called experimental phenomenology to identify these risks. The major advantage of this approach is to take into account the perception of passengers as a driver for design.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"271 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":"114868403","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}
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.2018.8688880
Rafi M. Saied, S. Thouta
With increasing demand of IoT device and Autonomous driving technology, the need for high performance designs to perform reliably under extreme conditions has become an absolute necessity. In addition to the harsh conditions, the devices must be able to work at high speeds to meet the performance demands. This means the hardware must work in very high temperatures and harsh environmental conditions quickly and reliably. This causes increasing challenges in Reliability verification of hardware designs to ensure the machine is both robust and reliable. There are various reliability aspects such as latch-up, electrostatic discharge (ESD), hot carrier effects and electromigration that are observed in IC design. Several factors impact the reliability verification of design such as process technology used, library design, routing, frequency, voltage and the usage conditions. In order to model all of this correctly, Sign off RV is run in final stages of design when all the layout and design collaterals have stabilized and this effort spent on fixing RV has an impact on Time to Market. In this paper we mainly show how some of the electromigration challenges can be addressed in design early on through correct by construction approach.
随着物联网设备和自动驾驶技术的需求不断增加，对在极端条件下可靠运行的高性能设计的需求已经成为绝对必要的。除了恶劣的条件，设备必须能够在高速下工作，以满足性能要求。这意味着硬件必须在非常高的温度和恶劣的环境条件下快速可靠地工作。这给硬件设计的可靠性验证带来了越来越大的挑战，以确保机器既坚固又可靠。在集成电路设计中，存在各种可靠性方面，如锁存、静电放电(ESD)、热载子效应和电迁移。影响设计可靠性验证的因素有工艺技术、库设计、布线、频率、电压和使用条件等。为了正确建模所有这些内容，Sign off RV在设计的最后阶段运行，此时所有布局和设计附属品都已稳定，并且用于修复RV的工作对上市时间有影响。在本文中，我们主要展示了如何通过正确的施工方法在设计早期解决一些电迁移挑战。
{"title":"Design for Reliability with Early Design Approach","authors":"Rafi M. Saied, S. Thouta","doi":"10.1109/ICSRS.2018.8688880","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688880","url":null,"abstract":"With increasing demand of IoT device and Autonomous driving technology, the need for high performance designs to perform reliably under extreme conditions has become an absolute necessity. In addition to the harsh conditions, the devices must be able to work at high speeds to meet the performance demands. This means the hardware must work in very high temperatures and harsh environmental conditions quickly and reliably. This causes increasing challenges in Reliability verification of hardware designs to ensure the machine is both robust and reliable. There are various reliability aspects such as latch-up, electrostatic discharge (ESD), hot carrier effects and electromigration that are observed in IC design. Several factors impact the reliability verification of design such as process technology used, library design, routing, frequency, voltage and the usage conditions. In order to model all of this correctly, Sign off RV is run in final stages of design when all the layout and design collaterals have stabilized and this effort spent on fixing RV has an impact on Time to Market. In this paper we mainly show how some of the electromigration challenges can be addressed in design early on through correct by construction approach.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039688","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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