Quick prototype design method and platform for gas path fault diagnosis for aeroengine

Abstract

The invention discloses a quick prototype design method for gas path fault diagnosis for an aeroengine. The quick prototype design method comprises the following steps of: building an adaptive model of the engine; designing a gas path fault diagnosis logic in the full service life of the aeroengine, and implementing abnormal monitoring and gas path performance on-line estimation; and designing a quick prototype design platform for gas path fault diagnosis for the engine, and checking abnormal monitoring and gas path performance on-line estimation functions of the platform. The adaptive model of the engine is built by a compound interference method; an engine on-board adaptive model is used for estimating performance parameters; an engine adaptive base line model is used for monitoring abnormities and performs off-line period updating; and the quick prototype design method is used for checking the engine gas path fault diagnosis logic. The invention also discloses a corresponding quick prototype design platform. The method and the platform are relatively high in capacity of monitoring abnormities and estimating the performance in the overall service life of the engine and have great significance for shortening the development period and reducing the test risk and the test cost.

Description

technical field [0001] The invention belongs to the field of aero-engine fault diagnosis, and in particular relates to an aero-engine air path fault diagnosis model and a rapid prototyping method thereof. It is applied to rapid verification of aero-engine fault diagnosis model, predictive health management and fault-tolerant control. Background technique [0002] The structure of aero-engine is becoming more and more complex, and the working conditions are harsh and changeable, which belongs to the fault-prone system. In the maintenance of the US Air Force, the cost of routine maintenance and replacement is very huge, of which the cost of the engine accounts for 60%. Therefore, in order to make the engine run safely and efficiently and save maintenance costs, it is necessary to understand the operating conditions of the engine, grasp its performance change rules, and carry out fault diagnosis on key components. Studies have shown that in the overall failure of aeroengines,...

AI Technical Summary

Problems solved by technology

After the performance of the engine degrades throughout its life, the engine model cannot accurately reflect the working conditions of the engine, and there is a deviation between the model output and the measurable output of the engine. Using this model as a benchmark for abnormal monitoring will cause false alarms

Images