Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions explores Detect and anticipate faults in mechanical systems using probabilistic anomaly detection, trained only on healthy data, with uncertainty quantification for safety-critical applications.. Commercial viability score: 7/10 in Predictive Maintenance.
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