For several years, we conducted a regular (virtual) colloquium with interesting talks around predictive maintenance. The recordings of all of these presentations are listed below.
Prof. Henk Akkermans – Business models for CBM-driven smart services (Nov 11, 2020)
A fundamental problem for the further adoption of ’smart’ maintenance in service triads is that costs and benefits are dislocated in time and place. When maintenance is done with IoT…
Prof. Frits Vaandrager – Finding Software Bugs Using Active Automata Learning (Sep 30, 2020)
Active automata learning is emerging as an effective technique for obtaining state machine models of software and hardware systems. In this talk, I will present an overview of work in…
Dr. Bram de Jonge – Condition-based maintenance optimization based on matrix algebra (Sep 16, 2020)
Industrial systems are in general subject to deterioration, ultimately leading to failure, and therefore require maintenance. Due to increasing possibilities to monitor, store, and analyze conditions, condition-based maintenance policies are…
Dr. Alieh Alipour – Asset Management & PdM (Sep 2, 2020)
In this presentation, Alieh will first present the important aspects of Asset Management and how predictive maintenance strategies will influence these aspects. Then, she will present the steps required for…
Prof. Tom Heskes – Causal inference and discovery (July 24, 2020)
Discovering causal relations from data lies at the heart of most scientific research today. In apparent contradiction with the adagio “correlation does not imply causation”, recent theoretical insights indicate that…
Dr. Stella Kapodistria – Integrated learning and decision making (July 8, 2020)
Stella Kapodistria is assistant professor in the Department of Mathematics and Computer Science, where she is part of the Stochastics operations section. She participates in the Networks Gravitation (NWO-Zwaartekracht) project,…