Failure detection method for gas circuit part of aero-engine based on adaptive particle filtering

Abstract

The present invention relates to a failure detection method for a gas circuit part of an aero-engine based on adaptive particle filtering. Compared with linear filtering and a linear model method, gas circuit health diagnosis based on a nonlinear filtering algorithm and a nonlinear component level model solves the diagnostic problem of failures of component performances in a transition state of the engine, is capable of fully mining nonlinear characteristics of the engine and improves the precision and the reliability of diagnosis, and solves the problem of limitation of performing gas circuit component failure diagnosis by using a centralized structure according to a standard particle filtering algorithm; and furthermore, the method provided by the present invention takes a fused filtering structure as a basis, and by virtue of two steps of estimating noise standard deviation in real time and adding inequality constraints, defects of the standard particle filtering, such as heavy calculation burden of a central processing unit, ignorance of effective prior information and low robustness of measured noise, can be effectively avoided, so that the filtering precision is improved, and the accuracy of gas circuit health diagnosis is ensured.

Description

technical field [0001] The invention relates to a fault detection method for air path components of an aero-engine based on an adaptive particle filter, and belongs to the technical field of aero-engine fault diagnosis. Background technique [0002] Aeroengines provide power for flight, and their performance and reliability are important guarantees for aircraft performance and flight safety. However, due to the complex structure of the aero-engine, and working in harsh environments such as high temperature and strong vibration, it is a fault-prone system, so the fault diagnosis of aero-engine is very necessary and urgent, and has become a research hotspot in the field of aerodynamic technology. Aeroengine gas path fault diagnosis is mainly to estimate the change of performance parameters such as gas path component efficiency and flow through the change of measurement parameters, and analyze the health status of engine gas path components; particle filter is to use sequential...

AI Technical Summary

Problems solved by technology

[0003] The gas path fault diagnosis method for aeroengines based on standard particle filters is a centralized structure, that is, the measured values ​​of each sensor are directly transmitted to the central processor for global health parameter estimation, which will inevitably lead to a large increase in the amount of calculations, which will cause a huge increase in the calculation of the central processor. burden

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