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An aeroengine residual life prediction method

A technology of aero-engine and prediction method, which is applied in the direction of internal combustion engine testing, special data processing applications, instruments, etc., can solve problems such as difficulties, and achieve the effect of improving robustness and avoiding biased estimation.

Pending Publication Date: 2019-03-12
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

In addition, the existing technology generally assumes that the degradation characteristics of all samples have a consistent or known healthy initial value, and some methods also assume that the length of the degradation characteristics of the historical samples and the samples to be tested is the same. difficulty

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  • An aeroengine residual life prediction method
  • An aeroengine residual life prediction method
  • An aeroengine residual life prediction method

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Embodiment Construction

[0039]In order to describe the technical solution disclosed in the present invention in detail, further elaboration will be made below in conjunction with the accompanying drawings and specific embodiments.

[0040] The invention relates to a method for predicting the remaining life of an aero-engine, which belongs to the technology of similarity modeling and remaining life prediction of aero-engine performance degradation characteristics. The present invention first performs degradation feature screening, principal component analysis (PCA), and Kernel smoothing to extract low-dimensional orthogonal degradation features and actual degradation tracks of the multi-dimensional time series data of the aero-engine through the Relief algorithm; then performs similarity matching on the degradation tracks, Find the set of degraded trajectory fragments in a group of historical samples that are most similar to the trajectory fragments of the sample to be tested, and use the density weigh...

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Abstract

The invention discloses a method for predicting the residual life of an aeroengine, The method firstly screens the measurable multi-dimensional performance characteristic parameters in the performancedegradation process of the aero-engine through the Relief algorithm, Principal component analysis (PCA) is used to reduce the correlation between features and extract more concise and effective low-dimensional orthogonal degenerative features, and Kernel smoothing is used to fit the actual degenerative trajectory. And then the similarity matching of the degradation trajectory is carried out, anda feature section set which is most similar to the track section of the to-be-predicted sample in one group of historical samples is found. In order to predict the residual life of aeroengines, the data distribution of the residual life of the similar characteristic segments is obtained by kernel density estimation, and the life prediction estimates of the samples are obtained by density weightedmethod.

Description

technical field [0001] The invention belongs to the life prediction of aero-engines, and relates to a similarity modeling and remaining life prediction technology of performance degradation characteristics of aero-engines, in particular to a method for predicting the remaining life of aero-engines. Background technique [0002] Aeroengines are the core equipment of various aviation vehicles, and their reliability, maintainability, safety, support and testability (RMSST) have always been the focus of the industry. Remaining life prediction predicts the remaining time from the current moment to the final failure of the equipment by analyzing the historical performance degradation trend of the equipment. Accurate life prediction can improve the RMSST performance of equipment, reduce maintenance costs, and solve the economic affordability of system maintenance. [0003] An aero-engine is a complex electromechanical-hydraulic-magnetic coupling system. Its performance degradation...

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Application Information

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IPC IPC(8): G06F17/50G01M15/05
CPCG01M15/05G06F30/20
Inventor 张妍王村松陆宁云
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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