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

A technology for aero-engines and gas circuit components, applied in internal combustion engine testing, special data processing applications, instruments, etc., can solve problems such as increased calculations and calculation burdens on central processing units

Active Publication Date: 2016-03-09
上海航数智能科技有限公司
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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 pr

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

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Embodiment Construction

[0044] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0045] For the air path fault diagnosis method of aeroengine, the design adopts the fusion filter structure, and each sensor has its own processor to form a single node, and the measurement information of each sensor will be pre-processed in its own node to obtain the local state Estimation, and finally the processed data is concentrated in the central processing unit for information fusion. This decentralized data processing method not only reduces the computational burden of centralized data processing, saves computing time, but also improves the robustness of the system.

[0046] When the particle filter realizes the state estimation, the weight of the particle is determined by the likelihood function, and the likelihood function is closely related to the probability density distribution function of the observation no...

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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...

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Application Information

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IPC IPC(8): G06F17/50G01M15/05
CPCG01M15/05G06F30/367
Inventor 王亚凡鲁峰黄金泉钱俊宁黄一桓
Owner 上海航数智能科技有限公司
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