Olga Fink

Assistant professor of Intelligent Maintenance and Operations Systems

EPFL Swiss Finance Institute

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Articles (20)

Collaborators (3)

David Kammer

Prof. at ETH Zürich

Mengjie Zhao

EPFL (École Polytechnique Fédérale de Lausanne)

Daniel Mitchell

University of Glasgow

UNITED KINGDOM

Olga Fink

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (3)

David Kammer

Mengjie Zhao

Daniel Mitchell

How do I reach out?

Meet Kite AI

Olga Fink

Research Interests

Explore related searches

Contact this professor

Articles (20)

Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Collective relational inference for learning heterogeneous interactions

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models

A prescriptive Dirichlet power allocation policy with deep reinforcement learning

Artificial intelligence across company borders

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

Fusing physics-based and deep learning models for prognostics

Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis

Maintenance scheduling of manufacturing systems based on optimal price of the network

Real-time model calibration with deep reinforcement learning

Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms

Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types

Interpretable Detection of Partial Discharge in Power Lines with Deep Learning

Collaborators (3)

David Kammer

Mengjie Zhao

Daniel Mitchell

How do I reach out?

Meet Kite AI