|Table of Contents|

Optimization of fault feature extraction method for bearings of reusable rocket turbopumps(PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2024年01期
Page:
0-
Research Field:
目次
Publishing date:

Info

Title:
Optimization of fault feature extraction method for bearings of reusable rocket turbopumps
Author(s):
WANG Delong1;  WANG Wei2;  JIN Lu2;  WANG Yankai1
1. School of Power and Energy, Northwestern Polytechnical University, Xi'an 710129, China; 2.Xi'an Institute of Aerospace Propulsion, Xi'an 710100, China
Keywords:
turbopump;  rolling bearing;  envelope spectrum;  singular value decomposition;  fault diagnosis
PACS:
V434.21
DOI:
10.3969/j.issn.1672-9374.2024.01.015
Abstract:
Turbo pump bearings are the key to reusable rockets. Therefore, it is very important to extract the bearing fault characteristic frequency effectively to carry out fault diagnosis. Singular value decomposition(SVD)and envelope spectrum demodulation are combined to extract the fault features of rocket turbopump bearings. By processing and analyzing the fault data of the bearing's inner ring, outer ring and rolling element, the results show that compared with the traditional envelope spectrum demodulation method, the improved method has significantly improved the fault feature extraction effect for the data with a lot of noise in the signal. Compared with traditional envelope spectrum demodulation, the relative amplitudes of three kinds of fault low frequency characteristic frequencies extracted by this method are improved. At the same time, it can effectively reduce the interference of high frequency noise. Especially in the high frequency region, characteristic frequency can still be seen more obviously, while the high frequency region of the traditional envelope spectrum demodulation method is basically covered by noise. Through calculation, the signal-to-noise ratio of the signal is improved by more than 60 dB.

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