Method for assessing flying reliability of aircraft engine on basis of monitoring information fusion

Abstract

The invention relates to a method for assessing flying reliability of an aircraft engine on the basis of monitoring information fusion, which comprises the steps of analyzing the failure law of the aircraft engine, and establishing flying reliability assessment process of the aircraft engine on the basis of performance recession; establishing a performance recession monitoring index system of the aircraft engine; collecting performance recession data of the aircraft engine and state monitoring information corresponding to time points, performing dimensionless processing on the performance recession data and the state monitoring information and performing information fusion through a Bayesian linear model; describing a random process of the performance recession of the aircraft engine by applying a Gamma process; providing a flying reliability model of the aircraft engine on the basis of the performance recession; and by means of analysis on a performance recession trend obtained through the information fusion at different timing points and analysis on a mean value and variance of performance recession degree obtained through multi-source information fusion at different timing points of the aircraft engine, determining parameters in the Gamma random process and calculating flying reliability level of the aircraft engine under the condition of a specified performance recession threshold value.

Description

technical field [0001] The present invention relates to the on-wing reliability evaluation of aero-engines, especially making full use of various state monitoring information, integrating performance reliability monitoring and system reliability evaluation into one system, and evaluating and tracking the on-wing reliability of aero-engines, Provide auxiliary support for maintenance decision-making. Background technique [0002] The aeroengine is the heart of the aircraft, and its health status is of great significance to ensure flight safety and reduce maintenance costs. Some advanced foreign theories and technologies, such as Prognostics and Health Management (PHM), Condition Based Maintenance (CBM), predictive maintenance, and Autonomic Logistics (AL), are gradually being adopted , is an important technical means to reduce maintenance costs. On-wing reliability assessment is one of the cores of the above theories and technologies, and the relevant results will be directl...

AI Technical Summary

Problems solved by technology

At present, the following methods are mainly used to monitor the performance degradation of aero-engines: one is to rely on a single parameter for performance degradation and evaluation. This method is simple, easy, and intuitive, but due to the limitations of single-parameter It is a certain form of performance degradation, which is relatively rough; the second is the multi-parameter aero-engine performance degradation evaluation represented by the proportional hazard model. The disadvantage of this method is that it ignores the error of the monitoring itself and confuses the performance degradation trend and reliability changes. The relationship between the two laws; the third is to use artificial intelligence to process the status monitoring information of the aero-engine to infer the degree of performance degradation of the aero-engine, but it is often a description of experience and reasoning, which is limited by the capacity and error of monitoring information. influences

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