Fault detection for turbine engine disk using adaptive Gaussian mixture model
Author:
Affiliation:
1. Electronics, Information and Automation, Civil Aviation University of China, Tianjin, China
Publisher
SAGE Publications
Subject
Mechanical Engineering,Control and Systems Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/0959651817731249
Reference23 articles.
1. Rotor health monitoring combining spin tests and data-driven anomaly detection methods
2. Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
3. Model-Based Fault Detection and Identification for Switching Power Converters
4. Fault detection for turbine engine disk based on an adaptive kernel principal component analysis algorithm
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