Solid Mechanics and Vehicle Conceptual Design

Extraction method for unsteady vibration components of aero-engine rotors

  • Yuan XIAO ,
  • Kun FENG ,
  • Minghui HU ,
  • Zhinong JIANG
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  • 1.State Key Laboratory of High-end Compressor and System Technology,Beijing University of Chemical Technology,Beijing 100029,China
    2.Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment,Beijing University of Chemical Technology,Beijing 100029,China
    3.Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education,Beijing University of Chemical Technology,Beijing 100029,China
E-mail: kunfengphd@163.com

Received date: 2022-10-24

  Revised date: 2023-03-20

  Accepted date: 2023-04-25

  Online published: 2023-04-28

Supported by

National Key Basic Research Project of 173

Abstract

Monitoring the vibration state of engine rotors is one of the important methods to improve the reliability of aero-engines. However, in actual operation and vibration monitoring process, it is found that the engine speed changes rapidly, and the rotor vibration component is weak, which makes it difficult to track and extract the rotor harmonic vibration component in real time. To solve this problem, this paper proposes an extraction method for aero-engine rotor vibration components based on sparse harmonic product spectrum and adaptive Vold-Kalman filter. Firstly, the characteristics of the engine casing signal is analyzed. Through combining the harmonic relationship between blade passing frequency and rotation frequency with the idea of harmonic product spectrum, a method for calculating the engine rotation frequency rapidly is proposed, without the need for accurate phase information. Secondly, the residual error of the order spectrum is minimized by using the method of variable step iteration, and the optimal filtering parameters of the Vold-Kalman filter are determined, to realize the accurate extraction of the harmonic vibration component of the engine rotor. It is verified by simulation signals that this method can effectively extract the weak rotor vibration components from the casing signal under relatively large noise, and this method is compared with a variety of classical signal decomposition methods. Finally, actual engine signals are further analyzed, and the calculation and verification are carried out for two typical unsteady working conditions of engine start/stop and acceleration/deceleration, which proves the superiority of the proposed method.

Cite this article

Yuan XIAO , Kun FENG , Minghui HU , Zhinong JIANG . Extraction method for unsteady vibration components of aero-engine rotors[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(3) : 228158 -228158 . DOI: 10.7527/S1000-6893.2023.28158

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