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Jannik Zgraggen
Observed name:
Zgraggen, Jannik
Institution:
Imperial College London
Observed institutions:
Imperial College London,
École Polytechnique Fédérale de Lausanne,
ZHAW Zurich University of Applied Sciences
OpenAlex ID:
A5077572650
Transfer Learning Approaches for Wind Turbine Fault Detection using Deep Learning
2021
·
Jannik Zgraggen
, Markus Ulmer
, et al.
·
PHM Society European Conference
·
23
PDF
A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand
2019
·
Jannik Zgraggen
, Matthew Tsao
, et al.
·
IEEE International Conference on Intelligent Transportation Systems (ITSC)
·
15
Physics Informed Deep Learning for Tracker Fault Detection in Photovoltaic Power Plants
2022
·
Jannik Zgraggen
, Yuyan Guo
, et al.
·
Annual Conference of the PHM Society
·
14
PDF
Data Scarcity in Fault Detection for Solar Tracking Systems: the Power of Physics-Informed Artificial Intelligence
2024
·
Mila Francesca Lüscher
, Jannik Zgraggen
, et al.
·
PHM Society European Conference
·
4
PDF
Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
2024
·
Markus Ulmer
, Jannik Zgraggen
, et al.
·
International Journal of Prognostics and Health Management
·
4
PDF
Uncertainty Informed Anomaly Scores with Deep Learning: Robust Fault Detection with Limited Data
2022
·
Jannik Zgraggen
, Gianmarco Pizza
, et al.
·
PHM Society European Conference
·
4
PDF
Thomson: Continual Learning of Frontier Models for SovereignAI
2026
·
Chen, Shengzhuang
, Parker, Jerrod
, et al.
·
arXiv (Cornell University)
·
2
PDF
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
2023
·
Ulmer, Markus
, Zgraggen, Jannik
, et al.
·
arXiv (Cornell University)
·
2
PDF
Fully Unsupervised Fault Detection in Solar Power Plants using Physics-Informed Deep Learning
2023
·
Jannik Zgraggen
, Yuyan Guo
, et al.
·
European Safety and Reliability Conference (ESREL)
·
2
PDF
Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study
2022
·
Markus Ulmer
, Jannik Zgraggen
, et al.
·
IEEE Swiss Conference on Data Science (SDS)
·
2
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Works count:
14
Citation count:
72
H-index:
4
I10-index:
3
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