In this Dataloog Podcast titled “The Art of Structural Health Management,” we delve into the fascinating world of Structural Health Monitoring (SHM). We interview Eleni Chadzi, a prominent researcher at ETH University in Zurich, Switzerland,  The podcast co-hosted by Professor Marielle Stoelinga.

Structural Health Monitoring is the practice of assessing the health and condition of structures like bridges, buildings, and machinery. Join us as we explore the ins and outs of SHM, including the difference between prognostics and diagnosis, the algorithms and techniques used, and the valuable insights these algorithms provide.

We’ll explore the wide array of algorithms available for SHM and discuss what information they yield, shedding light on how to determine what to monitor. Eleni and Professor Stoelinga will also help you understand the process of selecting relevant sensors, features, and parameters, and whether SHM is primarily about predicting Remaining Useful Life (RUL) or involves even more.

Learn from real-world examples where SHM has been successfully applied, and gain insights into the dynamic relationship between data-driven and model-driven approaches in the realm of structural health management.

In the second part of the episode, we’ll turn our attention to the present and future of SHM. Discover the state-of-the-art practices in both theory and practical applications, and identify the bottlenecks that researchers and practitioners face in this evolving field.

Join us as we unravel the mysteries behind Structural Health Monitoring and learn how experts like Eleni Chadzi and Professor Marielle Stoelinga are shaping the future of structural health management. Don’t miss out on this engaging and informative episode of “The Dataloog Podcast.”