Selection of gte diagnostic algorithms by the functional parametrs

Aerospace propulsion engineering


Ionov D. A.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia


In the present paper was made an optimal algorithm research of Gas Turbine engine's technical state diagnostic. New criterion functions for fours most active modules were taken with the help of regression analysis and allows appraising engine's technical state by the meaning of based-measured parameters. Developed algorithm allows to move to engine's technical state exploitation throw the whole life circle.


gasturbine engine, technical state, diagnostics, functional parameters, regressive model

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