Data-based aero-engine complete machine performance decline assessment and prediction method

Abstract

The invention provides a data-based aero-engine complete machine performance decline assessment and prediction method. The method comprises the following steps: S1, selecting a measurement parameter related to engine complete machine performance decline as an evaluation parameter, establishing an engine complete machine performance decline monitoring index tree based on the evaluation parameter, and setting a weight index according to the influence degree of the evaluation parameter on the engine performance decline; S2, selecting evaluation parameters of different flight frames under the same working condition from the flight data of the same aircraft in one washing period to construct an evaluation sample; S3, taking the first data of the evaluation sample data as a reference, solving the distance between other data and the reference, and normalizing the distance data to define an engine complete machine performance decline index; and S4, using an algorithm based on an artificial neural network, and using the evaluation sample constructed in the step S2 and the recession index defined in the step S3 to construct an engine complete machine performance recession prediction model for engine complete machine performance recession prediction.

Description

technical field [0001] The present disclosure relates to the technical field of aero-engine health management, and in particular to a data-based method for evaluating and predicting performance decline of an aero-engine as a whole. Background technique [0002] Aeroengines work for a long time under harsh conditions such as high temperature, high pressure, high speed, and high load. Their reliability and safety are important indicators to ensure flight safety. The maintenance cost of aero-engines is very high. In order to ensure the safety and reliability of in-service engines, engine failure prediction and health management (Prognostic and Health Management, PHM) is an effective solution. Engine performance decline refers to the decline in the flow capacity or efficiency of components caused by wear, creep, corrosion, vibration, etc. during long-term operation, which leads to the decline in the performance of the engine as a whole. The evaluation and prediction of engine p...

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Problems solved by technology

[0004] In order to solve at least one of the above-mentioned technical problems, the present disclosure provides a method for evaluating and predicting performance decline of an aero-engine based on flight recorder data, and comprehensively utilizes other monitoring parameters related to engine performance decline, such as environmental parameters, air path parameters, operating Parameters, etc. to evaluate the performance decline of the whole machine, and at the same time use the neural network algorithm to predict the performance of the whole machine, which solves the problem of imprecise evaluation based on a single exhaust temperature margin index in the traditional method, and provides a more optimized monitoring method for engine performance , has strong engineering application value

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