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Keywords: full flight data
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Proceedings Papers

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A027, September 21–25, 2020
Paper No: 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...