Reliability of a system conveys information about the absence of failures, and is usually defined as the probability that the system will perform its intended function for a specified time period when operating under given environmental conditions. Reliability theory, which is the foundation of reliability engineering, deals with the interdisciplinary use of probability, statistics and stochastic modeling, combined with engineering insights into the design and the scientific understanding of the failure mechanisms, to study the various aspects of reliability. With the development of the complex systems, such as advanced aircraft, space station and nuclear power and so on, reliability theories and applications attract more and more attention in this century.
It should be noted that the growth of structural and functional complexity leads to the development of various condition monitoring and health assessment techniques so as to guarantee system reliability and availability. Degradation process is a non-negligible phenomenon in system condition monitoring and reliability practices. In recent years, PHM related topics attracted increasing attention and many efforts have been taken to develop effective methods for system health evaluation and RUL prediction.
The growth of structural and functional complexity gives rise to the development of invulnerability and resilience research of complex networked systems so as to guarantee system reliability, availability, and resilience. A real network is robust and resilient yet fragile, which is one of basic features of a networked system. In many real networks such as power grid, city traffic, finance network, and even ecological network, a tiny local attack to some key nodes may lead to a domino-like cascading failure spreading to the entire system. In recent years, network invulnerability and resilience researches have recently attracted increasing attention. Much efforts have been taken to study how to measure the invulnerability, resilience, and adaptation of a network, how network structure affects its invulnerability and strategies to prevent and predict failure events of deleterious actions to get a more robust network.
This workshop serves as a forum for the latest achievements of the advanced theory and application of reliability, resilience, PHM and complex networked systems. We are looking forward to researchers and professionals to join our workshop and contribute their most recent research findings and best practices in the following research areas and topics.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at https://qrs22.techconf.org/submission.
The length of a camera ready paper will be limited to eight pages. Each paper should include a title, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.
All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2022 co-located workshops. At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the workshop. Arrangements are being made to publish selected accepted papers in reputable journals. Submissions must be in PDF format and uploaded to the conference submission site.Submission
|Zhiqiang Cai||Northwestern Polytechnical University|
|Lirong Cui||Beijing Institute of Technology|
|David W. Coit||Rutgers University|
|Jian Guo||Western New England University|
|Gregory Levitin||The Israel Electronic Corporation|
|Xiaohu Li||Stevens Institute of Technology|
|Yanfu Li||Tsinghua University|
|Zhaojun Li||Western New England University|
|Yi-Kuei Lin||National Taiwan University of Science & Technology|
|Yu Liu||University of Electronic Science and Technology of China|
|Peter Liu||Carleton University|
|Renyan Jiang||Changsha University of Science & Technology|
|Tongdan Jin||Texas State University|
|Yuchang Mo||Zhejiang Normal University|
|Mohammad Mobin||San Jose State University|
|Rui Peng||University of Science & Technology Beijing|
|Shubin Si||Northwestern Polytechnical University|
|Sheng-Tsaing Tseng||National Tsing-Hua University|
|Xiaoyue Wu||National University of Defense Technology|
|Ning Wang||Changan Univeristy|
|Liyang Xie||Northeastern University|
|Yisha Xiang||Lamar University|
|Tao Yuan||Ohio University|
|Hisashi Yamamoto||Tokyo Metropolitan University|
|Jun Yang||Beihang University|
|Won Young Yun||Pusan National University|
|Chi Zhang||Tsinghua University|