Reweighted kurtogram for aero-engine fault diagnosis

ZHANG Zhongqiang; ZHANG Xin; WANG Jiaxu; LIU Zhiwen

doi:10.7527/S1000-6893.2021.25445

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2022 , Vol. 43 >Issue 9: 625445 - 625445

DOI: https://doi.org/10.7527/S1000-6893.2021.25445

Special Topic: Operation Safety of Aero-engine

Reweighted kurtogram for aero-engine fault diagnosis

ZHANG Zhongqiang ,
ZHANG Xin ,
WANG Jiaxu ,
LIU Zhiwen

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1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received date: 2021-03-04

Revised date: 2021-03-17

Online published: 2021-05-20

Supported by

National Natural Science Foundation of China (52075456, 52075080); Fundamental Research Funds for the Central Universities (2682021CX021)

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Abstract

To address the problem that the fast Kurtogram method cannot select effective filter parameters when analyzing some real vibration signals with strong impulse interferences, a reweighted kurtogram is proposed, where a new indicator-reweighted kurtosis, is defined. Firstly, the frequency bands obtained by decomposition of the "Binary-Ternary" wavelet packet are equally split into several segments. The kurtosis of each segment and their corresponding weights in their sum are calculated. Then, the kurtosis and weights are sorted in the descending and ascending order, and the reweighted kurtosis is calculated using the reordered kurtosis and weights. Finally, the reweighted kurtogram is obtained by representing the reweighted kurtosis in the plane of central frequency and bandwidth frequency. The simulated signal analysis results show the method proposed is still effective in extracting periodic fault impulses, even when the signal contains strong impulse interferences. Application in fault diagnosis of the aero-engine and comparisons with conventional methods further verify the effectiveness and advantages of the method.

Key words： aero-engine; fault diagnosis; reweighted kurtogram; reweighted kurtosis; fast kurtogram; filter parameter

Cite this article

ZHANG Zhongqiang , ZHANG Xin , WANG Jiaxu , LIU Zhiwen . Reweighted kurtogram for aero-engine fault diagnosis[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022 , 43(9) : 625445 -625445 . DOI: 10.7527/S1000-6893.2021.25445

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