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Research on aerospace generator rotating rectifier fault feature extraction technology based on improved HHT method

Published online by Cambridge University Press:  24 April 2025

J. Cui Open the ORCID record for J. Cui [Opens in a new window] ,
R. Zhu Open the ORCID record for R. Zhu [Opens in a new window]  and
Z. Zhang Open the ORCID record for Z. Zhang [Opens in a new window]
J. Cui*
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
R. Zhu
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
Z. Zhang
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
*
Corresponding author: J. Cui; Email: [email protected]
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Abstract

This paper presents an improved signal-processing method based on the Hilbert-Huang transform (HHT), which is applied to the fault feature extraction of the aerospace generator rotating rectifier (AGRR). Initially, the excitation current of the alternating-current (AC) exciter is utilised as measurable information for data collection. Subsequently, the HHT is processed with variational mode decomposition (VMD), followed by the improvement of the variational Hilbert-Huang transform (VHHT) using particle swarm optimisation (PSO) to determine the modal decomposition number and the secondary penalty factor. Finally, the proposed PSO-VHHT method is compared with several other signal processing-based feature extraction methods through both simulated and practical experiment data, and an analysis of the diagnostic performance of these methods is also conducted.

Keywords

aerospace generatorrotating rectifierfeature extractionHilbert-Huang transformvariational mode decompositionfault diagnosis
Type
Research Article
Information
The Aeronautical Journal , First View , pp. 1 - 19
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Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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