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Keywords: support vector regression
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Proceedings Papers

Split Training Method to Generate Data Driven Model for Gas Turbine Engine Anomaly Detection

Yu Takiguchi, Satoshi Shiono
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A027, September 21–25, 2020
Paper No: GT2020-16062
https://doi.org/10.1115/GT2020-16062
... shows significant accuracy enhancement. data driven model full flight data anomaly detection prognosis machine learning clustering regression classification optimization DBSCAN support vector regression SPLIT TRAINING METHOD TO GENERATE DATA DRIVEN MODEL FOR GAS TURBINE ENGINE ANOMALY...
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Topics: Gas turbines, Machine learning, Optimization, Engines, Simulation models, Shapes, Algorithms, Flight, Sensors, Simulation