Detection of Anomalous Behaviour of Aircraft Engines for Predictive Maintenance
Author:
Affiliation:
1. Ramakrishna Mission Vivekananda Educational and Research Institute,Department of Computer Science,Howrah,India
2. Indian Statistical Institute,Applied Statistics Unit,Kolkata,India
3. GE Aerospace,Aerospace,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10380806/10380972/10381239.pdf?arnumber=10381239
Reference15 articles.
1. Enabling the Discovery of Recurring Anomalies in Aerospace Problem Reports using High-Dimensional Clustering Techniques
2. Detecting anomalies in unmanned vehicles using the Mahalanobis distance
3. Enhancing one-class support vector machines for unsupervised anomaly detection
4. Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model
5. Unsupervised anomaly detection in unmanned aerial vehicles
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