Fault diagnosis method of aero-engine exhaust temperature sensors

Abstract

The invention belongs to the technical field of aero-engine fault diagnosis, and particularly relates to a fault diagnosis method of aero-engine exhaust temperature sensors. The control parameters andstate parameters of an engine are acquired. The method includes the following steps: the temperature data of multiple exhaust temperature sensors is acquired; the control parameters, the state parameters and each piece of acquired temperature data are input as input information to a four-layer neural network model; the four-layer neural network model outputs the fault weight of each exhaust temperature sensor according to the input information; each fault weight is combined with the corresponding temperature data according to a weighted average deviation classification algorithm, and a resultabout whether there is a faulty exhaust temperature sensor is output; and if there is a faulty exhaust temperature sensor, the information of the faulty exhaust temperature sensor is output. The method can be used to accurately judge a faulty exhaust temperature sensor under simultaneous working of multiple exhaust temperature sensors.

Description

technical field [0001] The invention belongs to the technical field of aero-engine fault diagnosis, in particular to a fault diagnosis method for an aero-engine exhaust temperature sensor. Background technique [0002] The working environment of the aero-engine exhaust temperature sensor is extremely harsh, high temperature, high pressure, and high speed make it the type of sensor with the highest failure rate among all aero-engine sensors. [0003] Aiming at the high failure rate of aero-engine exhaust temperature sensors, the current mainstream solution is to use multiple exhaust temperature sensors, generally 4 to 6, and evenly distribute multiple exhaust temperature sensors between the high-pressure turbine and the low-pressure turbine on the same section. Among them, a faulty exhaust gas temperature sensor will output wrong data, so it is necessary to judge whether the exhaust gas temperature sensor is faulty to obtain other correct temperature data. [0004] The faul...

AI Technical Summary

Problems solved by technology

When the proportion of failures of exhaust temperature sensors is small, this method can accurately judge the failure of exhaust temperature sensors, but when the number of failures of exhaust temperature sensors is large, the probability of misjudgment will greatly increase

According to the statistics of aviation maintenance enterprises, the failure rate of engine exhaust temperature sensor exceeds 60%, which is a very high failure rate

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