104 citations · 210 across the 7 of their papers we have counts for
13 papers
Prescribing Optimal Health-Aware Operation for Urban Air Mobility with Deep Reinforcement Learning
Mina Montazeri, Chetan Kulkarni, Olga Fink
Urban Air Mobility (UAM) aims to expand existing transportation networks in metropolitan areas by offering short flights either to transport passengers or cargo. Electric vertical…
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Hao Dong, Ismail Nejjar, Han Sun +2
In real-world scenarios, achieving domain generalization (DG) presents significant challenges as models are required to generalize to unknown target distributions. Generalizing to…
Graph Neural Networks for Dynamic Modeling of Roller Bearing
Vinay Sharma, Jens Ravesloot, Cees Taal +1
In the presented work, we propose to apply the framework of graph neural networks (GNNs) to predict the dynamics of a rolling element bearing. This approach offers generalizability…
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems
Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig +2
The use of Internet of Things (IoT) sensors for air pollution monitoring has significantly increased, resulting in the deployment of low-cost sensors. Despite this advancement, acc…
A Comparison of Residual-based Methods on Fault Detection
Chi-Ching Hsu, Gaetan Frusque, Olga Fink
An important initial step in fault detection for complex industrial systems is gaining an understanding of their health condition. Subsequently, continuous monitoring of this healt…
Deep Koopman Operator-based degradation modelling
Sergei Garmaev, Olga Fink
With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicat…