A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds

• Published in: Engineering applications of artificial intelligence Vol. 114; p. 105140
• Main Authors: Rocchetta, Roberto, Gao, Qi, Mavroeidis, Dimitrios, Petkovic, Milan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2022
• Subjects: Fault detection; Information fusion; PHM; Sensitivity bounds; SVM; System health monitoring; SVM; PHM; Fault detection; Sensitivity bounds; System health monitoring; Information fusion

Fault detection models play a fundamental role in monitoring the health state of engineering systems subject to degradation processes. Data-driven fault detection models, albeit very effective when trained on large databases of failures, fail to perform well under a lack of failure examples. Because...