18 citations · 18 across the 5 of their papers we have counts for
5 papers
Discovery of fully efficient fault indicators along a data-based diagnosis process
Igor Bezmaternykh, Louise Travé-Massuyès, Elodie Chanthery
The integration of model-based and data-driven paradigms provides a powerful framework for fault diagnosis by combining the interpretability of analytical redundancy relations, i.e…
Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach
L{é}a Billet, Louise Trav{é}-Massuy{è}s, Elodie Chanthery +1
Anomaly detection methods often have uncertain behavior with respect to samples near the distribution boundary, limiting their ability to anticipate future anomalies. This work int…
CLOE: Christoffel Loss Autoencoder for Anomaly Detection
Léa Billet, Louise Travé-Massuyès, Elodie Chanthery +1
Semi-supervised anomaly detection plays a key role in diverse fields such as process monitoring, healthcare, and finance. However, lightweight methods often struggle with high-dime…
Applying Active Diagnosis to Space Systems by On-Board Control Procedures
Elodie Chanthery, Louise Travé-Massuyès, Yannick Pencolé +2
The instrumentation of real systems is often designed for control purposes and control inputs are designed to achieve nominal control objectives. Hence, the available measurements…
An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems
Elodie Chanthery, Pauline Ribot
Complex systems are naturally hybrid: their dynamic behavior is both continuous and discrete. For these systems, maintenance and repair are an increasing part of the total cost of…