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Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals

Complex industrial systems are continuously monitored by a large number of heterogeneous sensors. The diversity of their operating conditions and the possible fault types make it impossible to collect enough data for learning all the possible fault patterns.

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Cite this as

Gabriel Michau, Olga Fink (2024). Dataset: Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. https://doi.org/10.57702/o5fy1y66

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1177/1748006X19868335
Author	Gabriel Michau
More Authors	Olga Fink