FIELD: testing.
SUBSTANCE: present technical solution relates to the field of predictive equipment diagnostics. Claimed is a method for determining the technical condition of flame tubes of a gas turbine engine, containing the stages wherein: a numerical model of the gas turbine engine is built and used to determine the maximum permissible values of deviations in the temperature profile of the exhaust gases of the gas turbine engine, wherein the values of the temperature profile of the exhaust gases of the numerical model of the gas turbine engine are calculated for possible operating modes of the gas turbine engine, determined by the temperature, pressure and humidity of air, fuel supply, rotation speed of a free turbine, and defects; the real values of the temperature profile of the exhaust gases of the gas turbine engine are determined; the values of the temperature profile of the exhaust gases of the numerical model of the gas turbine engine and the real values of the temperature profile of the exhaust gases of the gas turbine engine are compared by means of a trained classifier, wherein the classifier is trained based on the calculated values of the temperature profile of the exhaust gases of the model of the gas turbine engine; when determining the discrepancy between the values of the temperature profile of the exhausted gases of the numerical model of the gas turbine engine and the real values of the temperature profile of the exhaust gases of the gas turbine engine, the trained classifier determines the condition of each flame tube of the gas turbine engine; the values of the indicator of the technical condition of each flame tube of the gas turbine engine and the remaining operating life thereof are obtained as a result.
EFFECT: increased accuracy of evaluating the technical condition of the combustion chambers of a gas turbine engine.
6 cl, 4 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD OF ESTIMATING TECHNICAL CONDITION OF TURBINE BLADES OF A GAS-TURBINE ENGINE | 2020 |
|
RU2725299C1 |
METHOD FOR DIAGNOSING INFORMATION-CONVERTING ELEMENTS OF AIRCRAFT ON-BOARD EQUIPMENT BASED ON MACHINE LEARNING | 2022 |
|
RU2802976C1 |
METHOD FOR CONTROLLING CHEMICAL PROCESS SYSTEM | 2023 |
|
RU2813658C1 |
DIAGNOSTIC METHOD OF TECHNICAL STATE OF GAS-TURBINE ENGINE | 2010 |
|
RU2445598C1 |
METHOD AND SYSTEM FOR REMOTE IDENTIFICATION AND PREDICTION OF DEVELOPMENT OF EMERGING DEFECTS OF OBJECTS | 2018 |
|
RU2686257C1 |
METHOD FOR DIAGNOSING A COMPLEX OF ON-BOARD EQUIPMENT OF AIRCRAFT BASED ON MACHINE LEARNING AND A DEVICE FOR ITS IMPLEMENTATION | 2023 |
|
RU2816667C1 |
METHOD OF LOCATING FIRE SOURCE USING MULTILAYER RECURRENT PERCEPTRON | 2021 |
|
RU2815322C2 |
METHOD AND SYSTEM FOR NONINVASIVE SCREENING PHYSIOLOGICAL PARAMETERS AND PATHOLOGY | 2016 |
|
RU2657384C2 |
METHOD FOR OPERATIONAL CONTROL OF PARAMETERS AND DIAGNOSIS OF THE TECHNICAL CONDITION OF SMALL UNMANNED AERIAL VEHICLES (UAV) | 2022 |
|
RU2803903C1 |
NEURAL NETWORK REGULATOR FOR CONTROLLING SHIP HEADING | 2007 |
|
RU2359308C2 |
Authors
Dates
2021-10-18—Published
2020-09-25—Filed