We consider a multi-component system in which a condition parameter is monitored by a single sensor. Monitoring gives the decision maker some information about the system state, but it does …
Think about all the times you had to endure train delay because of an expected switch failure, flight cancellation due to malfunction in air traffic control, blocked or reduced speeds …
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 …
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 …
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 …
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 …
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 …
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, …
Predictive maintenance can be seen as the most rewarding maintenance strategy. Therefore currently there is much focus is on the use of this strategy, however there can be debated that …
Predictive maintenance is a promising technique that aims at predicting failures more accurately, so that just-in-time maintenance can be performed, doing maintenance exactly when and where needed. Thus, predictive maintenance …