11 - Operations and Sustainment
COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR HEAT EXCHANGERS DIAGNOSIS IN ELECTRIFIED AIRCRAFT
D.F. Migliore¹, G. D'Alessio², S. Caggese², A. De Martin², F. Acerra¹, M. Sorli², M. Fioriti²; ¹Leonardo S.p.A., Italy ;²Politecnico di Torino, Italy
This paper presents a comparative analysis of ML algorithms to assess the severity of fouling in heat exchangers as an enabler for Condition-Based Maintenance. A high-fidelity model of the Thermal Management System is employed to generate the required data for data-driven algorithms, simulating both healthy and degraded conditions.