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Aero-engine complete machine residual performance extraction method based on after-flight data

An aero-engine and extraction method technology, applied in geometric CAD, design optimization/simulation, etc., can solve problems such as failure to consider recoverable decay factors

Inactive Publication Date: 2020-05-12
XIAMEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when using EGTM to evaluate the overall performance of the engine, the influence of recoverable decline factors is not considered

Method used

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  • Aero-engine complete machine residual performance extraction method based on after-flight data
  • Aero-engine complete machine residual performance extraction method based on after-flight data
  • Aero-engine complete machine residual performance extraction method based on after-flight data

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Embodiment Construction

[0083] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0084] The present invention provides the following examples:

[0085] In this embodiment, the take-off report data and maintenance records of an airline's engine from January 2016 to January 2019 are introduced. The take-off report includes take-off time, engine exhaust gas temperature (EGT), air pressure altitude (Altitude, ALT), fly...

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Abstract

The invention relates to the technical field of aero-engine overall performance detection, particularly to an aero-engine complete machine residual performance extraction method based on after-flightdata. The method comprises the following steps: S100, preprocessing an EGTM time sequence provided by a take-off report, wherein the preprocessing specifically comprises abnormal value processing, missing value processing and noise reduction processing of the EGTM time sequence; S200, establishing a recoverable performance model based on the preprocessed EGTM time sequence and the washing maintenance record; and S300, in combination with the recoverable performance model in the step S200, extracting residual performance from the preprocessed EGTM sequence. The aero-engine complete machine residual performance extraction method based on the after-flight data, provided by the invention, is beneficial to researching an aero-engine recession rule; the method has important significance for further mastering the performance degradation rule of the aero-engine, and realizes state monitoring and health management of an aero-engine, thereby improving the flight safety and reducing the use costof the aero-engine.

Description

Technical field [0001] The invention relates to the technical field of aero-engine overall performance detection, in particular to a method for extracting the remaining performance of aero-engines based on after-flight data. Background technique [0002] The aero engine is the heart of the aircraft. As the main power source of the aircraft, its working status directly affects flight safety. The overall performance of aero engines gradually declines with the increase in service time. Studying the law of its performance decline is of great significance to the condition monitoring and health management of aero engines. [0003] The overall performance of aero-engines is generally evaluated by the engine's exhaust gas temperature margin (EGTM). The current engine health management system monitors the overall performance of the engine by monitoring the EGTM of the engine. Research has found that in the service phase of the engine, EGTM is not only affected by irreversible recession f...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/15
Inventor 莫李平卿新林王奕首刘凯伟王奕惟
Owner XIAMEN UNIV
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