138 citations · 615 across the 16 of their papers we have counts for
Showing 2019 · stat.MLShow all
3 papers · 2 filters
stat.ML2019★ 27 cited
Unsupervised Fault Detection in Varying Operating Conditions
Gabriel Michau, Olga Fink
Training data-driven approaches for complex industrial system health monitoring is challenging. When data on faulty conditions are rare or not available, the training has to be per…
stat.ML2019★ 28 cited
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information
Gabriel Michau, Olga Fink
The failure of a complex and safety critical industrial asset can have extremely high consequences. Close monitoring for early detection of abnormal system conditions is therefore…
stat.ML2019★ 23 cited
Domain Adaptive Transfer Learning for Fault Diagnosis
Qin Wang, Gabriel Michau, Olga Fink
Thanks to digitization of industrial assets in fleets, the ambitious goal of transferring fault diagnosis models fromone machine to the other has raised great interest. Solving the…