A unifying framework for resilience analysis

8 March | Dr Lijuan Shen will talk about a framework for resilience analysis and its applications in power systems at the ETH Risk Centre-​​​Future Resilient Systems (FRS) webinar.

by Xiong Yap
A unifying framework for resilience analysis
Photo by Kai Pilger on Unsplash

With increasing urbanisation and higher interdependencies between infrastructure systems, major disruptions become more damaging. To build resilience into infrastructure systems, a unifying framework in defining and measuring resilience has been an intense research topic in recent years.

In this webinar, Dr Lijuan Shen will introduce a unifying framework for resilience analysis, in which resilience is represented by a set of functions comprising the intrinsic capacities of a system, the effectiveness of recovery, and the extrinsic random shock process. Through this perspective, the key constituents in achieving resilience are identified as reliability, robustness, recovery, and reconfigurability. She will also present how to apply this framework to analyse and assess the resilience of power systems. This webinar is part of a series on the topic of resilience and is jointly organised by the ETH Risk Centre and the Future Resilient Systems (FRS) programme.

Webinar details:

Date: Tuesday, 8 March 2022
Time: 715 - 815pm (SGT) / 1215 - 1315pm (CET)
Link: external pagehttps://ethz.zoom.us/j/62842371146

About the speaker:

Dr Lijuan Shen is a research coordinator of Cyber-Physical Systems Resilience cluster at the FRS programme and lead principal investigator of the Resilience Analysis of Hydrogen as a Low-Emission Fuel project.

Dr Shen serves as Guest Editor for Quality and Reliability Engineering International journal. She has published in peer-reviewed journals including Reliability Engineering & System Safety, IEEE Transactions on Reliability, Journal of Quality Technology, IIE Transactions, Quality and Reliability Engineering International, etc. Her research interests focus on resilience analysis and assessment of infrastructure systems, reliability modelling, analysis and assessment, statistical modelling and data analytics.
 


 

JavaScript has been disabled in your browser