Established Invited Sessions (total 11):
1. Advanced Reliability and Safety Management Techniques in Rail Transits
Chairs: Prof. Yong Qin (Beijing Jiaotong University, China, yqin@bjtu.edu.cn), Prof. Limin Jia (Beijing Jiaotong University, China, lmjia@bjtu.edu.cn), Dr. Zhipeng Wang (Beijing Jiaotong University, China, zpwang@bjtu.edu.cn)
Abstract: The Rail Transit System has been more and more significant in the economic development and high-technology industry. Currently, China has become a critical power within the research, manufacturing and operation of the Rail Transit all over the world. The safety and reliability, which is crucial to the Rail Transit system, is the most desired features and research interests. Meanwhile, the safety and reliability has revolutionized the perception of product reliability and has resulted in a broad range of applications. The safety and reliability in Rail Transit has been one of the top researches in the field.
However, due to the high complexity and nonlinearity of the Rail Transit system, the safety and reliability in Rail Transit is facing with challenges. The main aim of this special session is to cover the research and application on reliability and safety management techniques technology within the Rail Transit. The topics of interest include, but are not limited to, the following: Reliability Analysis of Rail Transit systems, Maintainability Analysis of Rail Transit systems, Safety & Risk Assessment in the Rail Transits, Prognostics and Health Management in the Rail Transits.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100303
Chairs: Prof. Yong Qin (Beijing Jiaotong University, China, yqin@bjtu.edu.cn), Prof. Limin Jia (Beijing Jiaotong University, China, lmjia@bjtu.edu.cn), Dr. Zhipeng Wang (Beijing Jiaotong University, China, zpwang@bjtu.edu.cn)
Abstract: The Rail Transit System has been more and more significant in the economic development and high-technology industry. Currently, China has become a critical power within the research, manufacturing and operation of the Rail Transit all over the world. The safety and reliability, which is crucial to the Rail Transit system, is the most desired features and research interests. Meanwhile, the safety and reliability has revolutionized the perception of product reliability and has resulted in a broad range of applications. The safety and reliability in Rail Transit has been one of the top researches in the field.
However, due to the high complexity and nonlinearity of the Rail Transit system, the safety and reliability in Rail Transit is facing with challenges. The main aim of this special session is to cover the research and application on reliability and safety management techniques technology within the Rail Transit. The topics of interest include, but are not limited to, the following: Reliability Analysis of Rail Transit systems, Maintainability Analysis of Rail Transit systems, Safety & Risk Assessment in the Rail Transits, Prognostics and Health Management in the Rail Transits.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100303
2. Decision Support Systems for Improving the Construction and Maintenance of Wind Farm Projects
Chairs: Aminah Robinson Fayek (University of Alberta, Canada, aminah.robinson@ualberta.ca), Ming Zuo (University of Alberta, Canada, ming.zuo@ualberta.ca), Nima Gerami Seresht (University of Alberta, Canada, geramise@ualberta.ca)
Abstract: Infrastructure for harnessing wind energy (i.e., wind farm projects) have recently gained popularity due to their low adverse environmental impacts. While the improvement of the construction and maintenance of wind farm projects requires the project and operation managers to make the right decisions in a timely fashion, the complexity and novelty of these projects produce numerous challenges related to decision-making, including the followings: wind farm projects generally involve numerous uncertain factors; these projects often require managers to coordinate many complex and dynamic processes for decisions-making; and managers must consider sometimes contradictory criteria and/or objectives for decision-making. In recent years, the application of advanced modeling and computational techniques has been emerged in different engineering disciplines to develop decision support systems for supporting the practitioners to cope with these aforementioned challenges. This special session focuses on the development of decision support systems for improving the construction and maintenance of wind farm projects.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100305
Chairs: Aminah Robinson Fayek (University of Alberta, Canada, aminah.robinson@ualberta.ca), Ming Zuo (University of Alberta, Canada, ming.zuo@ualberta.ca), Nima Gerami Seresht (University of Alberta, Canada, geramise@ualberta.ca)
Abstract: Infrastructure for harnessing wind energy (i.e., wind farm projects) have recently gained popularity due to their low adverse environmental impacts. While the improvement of the construction and maintenance of wind farm projects requires the project and operation managers to make the right decisions in a timely fashion, the complexity and novelty of these projects produce numerous challenges related to decision-making, including the followings: wind farm projects generally involve numerous uncertain factors; these projects often require managers to coordinate many complex and dynamic processes for decisions-making; and managers must consider sometimes contradictory criteria and/or objectives for decision-making. In recent years, the application of advanced modeling and computational techniques has been emerged in different engineering disciplines to develop decision support systems for supporting the practitioners to cope with these aforementioned challenges. This special session focuses on the development of decision support systems for improving the construction and maintenance of wind farm projects.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100305
3. Degradation analysis and remaining useful life prediction of components in aircraft utility systems
Chairs: Shaoping Wang (Beihang University, shaopingwang@vip.sina.com), Chao Zhang (Beihang University, czhangstar@gmail.com)
Abstract: Aircraft utility system includes hydraulic subsystem, fuel subsystem and various other subsystems on aircraft, and components of aircraft utility system is very important to the reliability and longevity of the whole aircraft. This session pays attention to the degradation analysis and remaining useful life prediction of components in aircraft utility systems. Methodologies based on failure mechanism as well as data-driven methods can be considered. Methodologies based on failure mechanism should take the airborne condition and the flight profile into account, including wide temperature range, high pressure or strong vibration. Data-driven methods rely only on available past observed data and statistical models. Methods considering both failure mechanism and data-driven model are also preferred.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100301
Chairs: Shaoping Wang (Beihang University, shaopingwang@vip.sina.com), Chao Zhang (Beihang University, czhangstar@gmail.com)
Abstract: Aircraft utility system includes hydraulic subsystem, fuel subsystem and various other subsystems on aircraft, and components of aircraft utility system is very important to the reliability and longevity of the whole aircraft. This session pays attention to the degradation analysis and remaining useful life prediction of components in aircraft utility systems. Methodologies based on failure mechanism as well as data-driven methods can be considered. Methodologies based on failure mechanism should take the airborne condition and the flight profile into account, including wide temperature range, high pressure or strong vibration. Data-driven methods rely only on available past observed data and statistical models. Methods considering both failure mechanism and data-driven model are also preferred.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100301
4. Dynamic Reliability Analysis of Complex Structural and Mechanical Systems
Chairs: Xihui Liang (Department of Mechanical Engineering, University of Manitoba, Xihui.Liang@umanitoba.ca) and Sajad Saraygord Afshari (Department of Mechanical Engineering, University of Manitoba, Sajad.SaraygordAfshari@umanitoba.ca)
Abstract: Dynamic Reliability Analysis of Complex Structural and Mechanical Systems is an effective way for safety-based design, operation and predictive maintenance optimization of different structural and mechanical systems. An accurate dynamic reliability analysis requires a good knowledge of stochastic behavior of structural/mechanical systems as well as the uncertainties within their working conditions together with a fine dynamic analysis. This special session focuses on recent development in this area. The topics include but are not limit to: 1. Stochastic dynamic analysis of uncertain structural/mechanical systems for reliability estimation and prediction; 2. Predictive maintenance of stochastic structural and mechanical systems; 3. Application of machine learning methods for dynamic reliability analysis; and 4. Hybrid methods in reliability analysis of dynamic systems via limited experimental data.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100380
Chairs: Xihui Liang (Department of Mechanical Engineering, University of Manitoba, Xihui.Liang@umanitoba.ca) and Sajad Saraygord Afshari (Department of Mechanical Engineering, University of Manitoba, Sajad.SaraygordAfshari@umanitoba.ca)
Abstract: Dynamic Reliability Analysis of Complex Structural and Mechanical Systems is an effective way for safety-based design, operation and predictive maintenance optimization of different structural and mechanical systems. An accurate dynamic reliability analysis requires a good knowledge of stochastic behavior of structural/mechanical systems as well as the uncertainties within their working conditions together with a fine dynamic analysis. This special session focuses on recent development in this area. The topics include but are not limit to: 1. Stochastic dynamic analysis of uncertain structural/mechanical systems for reliability estimation and prediction; 2. Predictive maintenance of stochastic structural and mechanical systems; 3. Application of machine learning methods for dynamic reliability analysis; and 4. Hybrid methods in reliability analysis of dynamic systems via limited experimental data.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100380
5. Life Analysis with Deterioration with Field Applications
Chairs: Lu Jin (University of Electro-communications, jinlu@inf.uec.ac.jp), Qingpei Hu (Chinese Academy of Sciences, qingpeihu@amss.ac.cn)
Abstract: Deteriorating failure is the dominant mode for system operation period, which is more observable and predictable. Studies on deterioration focus on both the testing and maintenance phase. In this session four talks centered on deterioration will be presented, for the optimal maintenance policy making, for the dynamic queueing system, and for the reliability assessment for degradation testing. All the four talks have applications on practical problems as well.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100304
Chairs: Lu Jin (University of Electro-communications, jinlu@inf.uec.ac.jp), Qingpei Hu (Chinese Academy of Sciences, qingpeihu@amss.ac.cn)
Abstract: Deteriorating failure is the dominant mode for system operation period, which is more observable and predictable. Studies on deterioration focus on both the testing and maintenance phase. In this session four talks centered on deterioration will be presented, for the optimal maintenance policy making, for the dynamic queueing system, and for the reliability assessment for degradation testing. All the four talks have applications on practical problems as well.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100304
6. Models and Applications in Network Reliability
Chair: Yi-Kuei Lin (Department of Industrial Engineering and Management, National Chiao Tung University, Taiwan, yklin@nctu.edu.tw)
Abstract: Due to multistate capacity levels ranging from a perfectly working level to complete malfunction, many real-life systems can be modeled as the stochastic flow networks such as computer, project, transportation, manufacturing, and logistic systems. In the past decades, a lot of research has been devoted to studying models and applications of stochastic flow networks. From the decision-making perspectives, network reliability is one of the key performance indicators (KPI) to assess the stability and robustness of the stochastic flow networks. Based on network reliability, system supervisors can improve or investigate the most important part of the stochastic flow networks. In this special session, we focus on the “Models and Applications in Network Reliability”, and invite distinguished speakers to submit related and high-quality papers.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100484
Chair: Yi-Kuei Lin (Department of Industrial Engineering and Management, National Chiao Tung University, Taiwan, yklin@nctu.edu.tw)
Abstract: Due to multistate capacity levels ranging from a perfectly working level to complete malfunction, many real-life systems can be modeled as the stochastic flow networks such as computer, project, transportation, manufacturing, and logistic systems. In the past decades, a lot of research has been devoted to studying models and applications of stochastic flow networks. From the decision-making perspectives, network reliability is one of the key performance indicators (KPI) to assess the stability and robustness of the stochastic flow networks. Based on network reliability, system supervisors can improve or investigate the most important part of the stochastic flow networks. In this special session, we focus on the “Models and Applications in Network Reliability”, and invite distinguished speakers to submit related and high-quality papers.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100484
7. New Models and Approaches for the Reliability & Quality
Chairs: Tomoaki Akiba (Chiba Institute of Technology, tomoaki.akiba@p.chibakoudai.jp) and Hisashi Yamamoto (yamamoto@tmu.ac.jp)
Abstract: In the modern world, many infrastructures etc. are constructed as large or/and complex systems, for example, Internet, power supply network, water supply network, traffics and supply chain network etc.. Our society and life are strongly supported by hardware or/and software systems. For this, we cannot have convenient life we receive today when their systems fail. Under the situation, both of quality and reliability of the systems becomes increasingly an important theme become to be important topics. There exist many studies on evaluation methods for quality and reliability, optimal system design and maintenance problem etc. In this session, we introduce studies on some new models and approaches for the reliability and quality, as well as providing a unique discuss opportunity.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100302
Chairs: Tomoaki Akiba (Chiba Institute of Technology, tomoaki.akiba@p.chibakoudai.jp) and Hisashi Yamamoto (yamamoto@tmu.ac.jp)
Abstract: In the modern world, many infrastructures etc. are constructed as large or/and complex systems, for example, Internet, power supply network, water supply network, traffics and supply chain network etc.. Our society and life are strongly supported by hardware or/and software systems. For this, we cannot have convenient life we receive today when their systems fail. Under the situation, both of quality and reliability of the systems becomes increasingly an important theme become to be important topics. There exist many studies on evaluation methods for quality and reliability, optimal system design and maintenance problem etc. In this session, we introduce studies on some new models and approaches for the reliability and quality, as well as providing a unique discuss opportunity.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100302
8. Reliability data analysis and decision making
Chairs: Rui Peng (Beijing University of Technology, pengrui1988@bjut.edu.cn) and Shaomin Wu (University of Kent, S.M.Wu@kent.ac.uk)
Abstract: This session deals with important decision makings based on system reliability modeling and analysis. This session aims to attract submissions in the hot topics in the reliability field and provides a platform for imparting the advanced reliability modeling techniques, data analysis methods, and discussing the applications of them in different practical decision making problems, such as determining the optimal maintenance policy, the optimal system protection strategy, etc. Interested topics include but are not limited to: Degradation modelling of complex systems, Prognostics and health management, Reliability data analysis, Reliability optimization, System maintenance policy, Software reliability, System resilience and restoration, System defense strategies
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=99232
Chairs: Rui Peng (Beijing University of Technology, pengrui1988@bjut.edu.cn) and Shaomin Wu (University of Kent, S.M.Wu@kent.ac.uk)
Abstract: This session deals with important decision makings based on system reliability modeling and analysis. This session aims to attract submissions in the hot topics in the reliability field and provides a platform for imparting the advanced reliability modeling techniques, data analysis methods, and discussing the applications of them in different practical decision making problems, such as determining the optimal maintenance policy, the optimal system protection strategy, etc. Interested topics include but are not limited to: Degradation modelling of complex systems, Prognostics and health management, Reliability data analysis, Reliability optimization, System maintenance policy, Software reliability, System resilience and restoration, System defense strategies
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=99232
9. Reliability modelling and optimal configuration of complex systems
Chairs: Taotao Zhou (Tsinghua University, taotao.zhou@outlook.com), Rui Peng (Beijing University of Technology, pengrui1988@bjut.edu.cn)
Abstract: This session deals with the reliability modeling and optimization of different types of systems. Systems of different structures and systems of different functions are studied. In addition, different practical factors that influence system failure process are studied and the different reliability modeling techniques are shown. The applications on reliability modeling in different practical optimization problems are illustrated. Interested topics include but are not limited to: Degradation modeling and residual life estimation, Heating systems, Maintenance scheduling, Multistate systems, Network reliability, Nuclear Systems, Reliability data analysis Stochastic process, Power systems, Software reliability.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100246
Chairs: Taotao Zhou (Tsinghua University, taotao.zhou@outlook.com), Rui Peng (Beijing University of Technology, pengrui1988@bjut.edu.cn)
Abstract: This session deals with the reliability modeling and optimization of different types of systems. Systems of different structures and systems of different functions are studied. In addition, different practical factors that influence system failure process are studied and the different reliability modeling techniques are shown. The applications on reliability modeling in different practical optimization problems are illustrated. Interested topics include but are not limited to: Degradation modeling and residual life estimation, Heating systems, Maintenance scheduling, Multistate systems, Network reliability, Nuclear Systems, Reliability data analysis Stochastic process, Power systems, Software reliability.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100246
10. Reliability Tests and Data Analysis
Chair: Prof. Tao Yuan (Department of Industrial and Systems Engineering, Ohio University, yuan@ohio.edu)
Abstract: Reliability prediction and test planning are important subjects for both reliability researchers and practitioners. This session will focus on some recent advancement and development related to reliability test planning and reliability prediction. Especially, topics in this session will emphasize on new mathematical reliability models, experimental schemes and designs, as well as predictive methods. Tentative presentations in this session will include an optimal design of accelerated destructive degradation tests considering block effects, a burn-in test optimization method, a remaining useful life prediction method based on machine learning techniques, and a Bayesian approach to reliability prediction for repairable systems using nonhomogeneous Poison process.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100712
Chair: Prof. Tao Yuan (Department of Industrial and Systems Engineering, Ohio University, yuan@ohio.edu)
Abstract: Reliability prediction and test planning are important subjects for both reliability researchers and practitioners. This session will focus on some recent advancement and development related to reliability test planning and reliability prediction. Especially, topics in this session will emphasize on new mathematical reliability models, experimental schemes and designs, as well as predictive methods. Tentative presentations in this session will include an optimal design of accelerated destructive degradation tests considering block effects, a burn-in test optimization method, a remaining useful life prediction method based on machine learning techniques, and a Bayesian approach to reliability prediction for repairable systems using nonhomogeneous Poison process.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100712
11. System reliability and maintenance modeling
Chairs: Prof. Zhigang (Will) Tian (University of Alberta, Canada, ztian@ualberta.ca) and Prof. Yisha Xiang (Texas Tech University, USA, Yisha.Xiang@ttu.edu).
Abstract: This session presents advances in system reliability and maintenance modeling, considering random, varying and dynamic environment. A system consists of multiple components connected in a certain structure. The topics of the session include, but not limited to, degradation modeling, such as accelerated degradation testing and degradation process modeling, system reliability modeling considering multiple degraded states, system reliability modeling of complex systems such as wind power systems, maintenance modeling based on stochastic processes, assessment of system reliability and maintenance policies, consideration of random, varying and dynamic environment in system reliability and maintenance modeling, theoretical analysis and cost evaluation of maintenance policies, etc.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100711
Chairs: Prof. Zhigang (Will) Tian (University of Alberta, Canada, ztian@ualberta.ca) and Prof. Yisha Xiang (Texas Tech University, USA, Yisha.Xiang@ttu.edu).
Abstract: This session presents advances in system reliability and maintenance modeling, considering random, varying and dynamic environment. A system consists of multiple components connected in a certain structure. The topics of the session include, but not limited to, degradation modeling, such as accelerated degradation testing and degradation process modeling, system reliability modeling considering multiple degraded states, system reliability modeling of complex systems such as wind power systems, maintenance modeling based on stochastic processes, assessment of system reliability and maintenance policies, consideration of random, varying and dynamic environment in system reliability and maintenance modeling, theoretical analysis and cost evaluation of maintenance policies, etc.
Link for invited speakers: https://edas.info/newPaper.php?c=26214&track=100711
Call for Invited Sessions:
Researchers and practitioners are invited to submit proposals for invited sessions with focused themes. Such a theme may be either a research topic, an application area, or a mixture of the two. Example session themes are Degradation models; Health assessment for industrial batteries; Wind farm maintenance management; High-speed rail applications; Uncertainty modeling in construction management; etc.
A session proposal needs to include the following contents:
1. Session title
2. Session description of 100 to 150 words
3. Session organizers, affiliations, and email addresses
4. At least 4 names of invited speakers for the session and their tentative presentation titles
The deadline for submission of such session proposals has been extended to December 31, 2019. Please submit your proposal in PDF or Word format to Publications Chair Dr. Liudong Xing at liudong.xing@umassd.edu.
Once an invited session is approved, a separate track will be created at EDAS (https://aparm2020.edas.info/newPaper.php?c=26214). Each speaker of an invited session needs to prepare a paper following the paper preparation instructions provided at the conference website (http://www.aparm2020.org/) and submit it to the conference via EDAS (https://aparm2020.edas.info/newPaper.php?c=26214) by choosing the track for his/her invited session and entering the password assigned to this session (you may get the password from your session organizers). The papers submitted to invited sessions will also be peer-reviewed. The organizers of the session will be used as the main reviewers of these invited papers. If a special session has less than 4 papers accepted, these accepted papers may be assigned to other special or regular sessions.
Approved invited sessions will be publicized at the conference website.
A session proposal needs to include the following contents:
1. Session title
2. Session description of 100 to 150 words
3. Session organizers, affiliations, and email addresses
4. At least 4 names of invited speakers for the session and their tentative presentation titles
The deadline for submission of such session proposals has been extended to December 31, 2019. Please submit your proposal in PDF or Word format to Publications Chair Dr. Liudong Xing at liudong.xing@umassd.edu.
Once an invited session is approved, a separate track will be created at EDAS (https://aparm2020.edas.info/newPaper.php?c=26214). Each speaker of an invited session needs to prepare a paper following the paper preparation instructions provided at the conference website (http://www.aparm2020.org/) and submit it to the conference via EDAS (https://aparm2020.edas.info/newPaper.php?c=26214) by choosing the track for his/her invited session and entering the password assigned to this session (you may get the password from your session organizers). The papers submitted to invited sessions will also be peer-reviewed. The organizers of the session will be used as the main reviewers of these invited papers. If a special session has less than 4 papers accepted, these accepted papers may be assigned to other special or regular sessions.
Approved invited sessions will be publicized at the conference website.