AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (10.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Vibration features of rotor unbalance and rub-impact compound fault

Tao ZHOUaMinghui HUa( )Ya HEaBo MAb
Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, PR China
Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery, Beijing University of Chemical Technology, Beijing 100029, PR China
Show Author Information

Abstract

To meet the requirements of improving work efficiency, the rotating machinery represented by gas turbines reduces the gap between rotor and stator, making rub-impact occur frequently. However, a few researchers combined with the current gas turbine condition monitoring concluded that it could diagnose the rub-impact fault. In this study, the vibration features that can help diagnose the compound fault of rotor unbalance and rub-impact are researched. Taking the Jeffcott rotor system as the research object, the mathematical model is constructed considering the coupling of radial and torsion, and the Runge-Kutta method is used to solve the differential equation. Through the analysis of the model results, it is concluded that the compound fault can be diagnosed by the vibration features-reduction of the fundamental frequency amplitude. Finally, the correctness of the model is verified by experiments. At the same time, the vibration features of the rotor and stator are compared to show the consistency of vibration features, which shows that the proposed features can diagnose this compound fault.

References

1

Childs DW. Rub-induced parametric excitation in rotors. Journal of Mechanical Design 1979; 101(4): 640-644.

2

Muszynska A. Rotor-to-stationary element rub-related vibration phenomena in rotating machinery -- literature suryey. The Shock and Vibration Digest 1989; 21(3): 3-11.

3

Li GX, Padoussis MP. Impact phenomena of rotor-casing dynamical systems. Nonlinear Dynamics 1994; 5(1): 53-70.

4

Goldman P, Muszynska A. Chaotic behavior of rotor/stator systems with rubs. Journal of Engineering for Gas Turbines and Power 1994; 116(3): V03CT17A048.

5

Chu F, Zhang Z. Bifurcation and chaos in a rub-impact Jeffcott rotor system. Journal of Sound & Vibration 1998; 210(1): 1-18.

6

Al-Bedoor BO. Transient torsional and lateral vibrations of unbalanced rotors with rotor-to-stator rubbing. Journal of Sound & Vibration 2000; 229(3): 627-645.

7

Karpenko EV, Pavlovskaia E, Wiercigroch M. Bifurcation analysis of a preloaded Jeffcott rotor. Chaos Solitons & Fractals 2003; 15(2): 407-416.

8

Chu FL, Lu WX. Experimental observation of nonlinear vibrations in a rub-impact rotor system. Journal of Sound and Vibration 2005; 283 (3-5): 621-643.

9

Jiang J. Determination of the global responses features of a piecewise smooth dynamical system with contact. Nonlinear Dynamics 2009; 57 (3): 351-361.

10

Torkhani M, May L, Voinis P. Light, medium and heavy partial rubs during speed transients of rotating machines: Numerical simulation and experimental observation. Mechanical Systems & Signal Processing 2012; 29: 45-66.

11

Sinha S. Rotor dynamic analysis of asymmetric turbofan rotor due to fan blade-loss event with contact-impact rub loads. Journal of Sound & Vibration 2013; 332(9): 2253-2283.

12

Lu WX, Chu FL. Radial and torsional vibration characteristics of a rub rotor. Nonlinear Dynamics 2014; 76(1): 529-549.

13

Ma H, Yin FL, Wu ZY, et al. Nonlinear vibration response analysis of a rotor-blade system with blade-tip rubbing. Nonlinear Dynamics 2016; 84(3): 1225-1258.

14

Ma H, Tai XY, Han QK, et al. A revised model for rubbing between rotating blade and elastic casing. Journal of Sound and Vibration 2015; 337:301-320.

15

Prabith K, Krishna I. The numerical modeling of rotor–stator rubbing in rotating machinery: a comprehensive review. Nonlinear Dynamics 2020; 101(2):1317-1363.

16

Yuan ZW, Chu FL, Wang SB, et al. Influence of rotor's radial rub-impact on imbalance responses. Mechanism and Machine Theory 2007; 42(12): 1663-1667.

17

Asjad MM, Darpe AK, Gupta K. Analysis of stator vibration response for the diagnosis of rub in a coupled rotor-stator system. International Journal of Mechanical Sciences 2018; 144: 392-406.

18

Liu Y, Zhao YL, Li JT, et al. Research on fault feature extraction method based on NOFRFs and its application in rotor faults. Shock and Vibration 2019; (4): 1-11.

19

Liu Y, Li JT, Feng KP, et al. A novel fault diagnosis method for rotor rub-impact based on nonlinear output frequency response functions and stochastic resonance. Journal of Sound and Vibration 2020; 481: 115421.

20

Liu Y, Zhao YL, Li JT, et al. Application of weighted contribution rate of nonlinear output frequency response functions to rotor rub-impact. Mechanical Systems and Signal Processing 2020; 136: 106518.

21

Li JT, Lu HH, Feng KP, et al. Research on a new diagnosis index for fixed-point rub-impact of rotor system. Engineering Failure Analysis 2021; 125: 105394.

22

Lu HH, Feng KP, Liang HY, et al. An improved NOFRFs-based fault feature extraction method and its application to quantitative diagnosis in rotor rub-impact. Journal of Sound and Vibration 2021; 513: 116406.

23

Zhang XT, Yang YF, Shi MM, et al. An energy track method for earlystage rub-impact fault investigation of rotor system. Journal of Sound and Vibration 2022; 516: 116545.

24

Liu Y, Li QL, Chen YZ, et al. Dynamic analysis of rubbing rotor system based on Hertz contact theory. Advanced Materials Research 2012; 479-481: 743-747.

Journal of Advanced Manufacturing Science and Technology
Cite this article:
ZHOU T, HU M, HE Y, et al. Vibration features of rotor unbalance and rub-impact compound fault. Journal of Advanced Manufacturing Science and Technology, 2022, 2(1): 2022002. https://doi.org/10.51393/j.jamst.2022002

199

Views

2

Downloads

1

Crossref

7

Scopus

Altmetrics

Received: 10 December 2021
Revised: 15 January 2022
Accepted: 11 February 2022
Published: 15 January 2022
© 2022 JAMST All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0),which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Return