Method for extracting fault characteristics of aero-engine rotor

Abstract

The invention discloses a method for extracting fault characteristics of an aero-engine rotor. Aiming at the technical problem that weak fault features of an aero-engine rotor system under strong background noise are difficult to extract accurately in the prior art, the invention provides a rotor fault feature extraction method based on combination of VNCMD (Variable Non-Linear Frequency Modulation Decomposition) and Birge-Massart threshold noise reduction. The extraction method comprises the following steps: firstly, decomposing a rotor fault signal by utilizing VNCMD; screening effective signal components according to a kurtosis value and a correlation coefficient criterion; the signal component being subjected to noise reduction processing through the Birge-Massart threshold noise reduction method, performing envelope demodulation on the signal obtained after noise reduction, extracting rotor fault feature information. The rotor system fault information extraction capacity can be effectively improved through the extraction method, and rotor system faults can be more effectively diagnosed.

Description

technical field [0001] The invention relates to a method for extracting feature information, in particular to a method for extracting aeroengine rotor fault features. Background technique [0002] With the continuous development and progress of modern science and technology, on the one hand, rotating machinery is developing towards high speed and high efficiency, and at the same time, it is facing the challenges of more demanding working and operating environments, which leads to a corresponding increase in the potential risk of failure. The core component rotor system is one of the parts with the highest failure rate. Especially the aero-engine rotor system of the aircraft is the system with the highest failure rate, the most complicated adjustment and the largest maintenance workload in the aeromechanical equipment, and its working status directly affects the safety, reliability and operation of the aircraft; Faults during operation may cause the aircraft to fail to fly n...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the deficiencies of the prior art, the object of the present invention is to provide a method for extracting fault features of an aero-engine rotor, which aims at the technical problem that it is difficult to accurately extract weak fault features of an aero-engine rotor system under strong background noise in the prior art, A rotor fault feature extraction method based on the combination of variational nonlinear FM mode decomposition (VNCMD) and Birge-Massart threshold noise reduction is proposed

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