2 papers
cs.SE2026
Enabling Predictive Maintenance in District Heating Substations: A Labelled Dataset and Fault Detection Evaluation Framework based on Service Data
Cyriana M. A. Roelofs, Edison Guevara Bastidas, Thomas Hugo +2
Early detection of faults in district heating substations is imperative to reduce return temperatures and enhance efficiency. However, progress in this domain has been hindered by…
cs.LG2024
CARE to Compare: A real-world dataset for anomaly detection in wind turbine data
Christian Gück, Cyriana M. A. Roelofs, Stefan Faulstich
Anomaly detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain sp…