Interpretable anomaly detection using extended isolation forest with adaptive thresholds
Structural Health Monitoring: An International Journal
Published online on June 12, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
To address the common issues of insufficient interpretability in intelligent anomaly detection for rotating machinery, as well as the inefficiency and practical limitations caused by the reliance on a large number of labeled samples for model pretraining, ...
To address the common issues of insufficient interpretability in intelligent anomaly detection for rotating machinery, as well as the inefficiency and practical limitations caused by the reliance on a large number of labeled samples for model pretraining, ...