138 citations · 615 across the 16 of their papers we have counts for
4 papers · 1 filter
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection
Gaetan Frusque, Gabriel Michau, Olga Fink
Acoustic monitoring for machine fault detection is a recent and expanding research path that has already provided promising results for industries. However, it is impossible to col…
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…
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…
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…