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Technical Brief

Mechanism of Fast Time-Varying Vibration for Rotor–Stator Contact System: With Application to Fault Diagnosis

[+] Author and Article Information
Laihao Yang

School of Mechanical Engineering,
Xi'an Jiaotong University,
Xi'an 710049, China
e-mail: yanglaihao2016@163.com

Xuefeng Chen

School of Mechanical Engineering,
Xi'an Jiaotong University,
Xi'an 710049, China
e-mail: chenxf@mail.xjtu.edu.cn

Shibin Wang

School of Mechanical Engineering,
Xi'an Jiaotong University,
Xi'an 710049, China
e-mail: wangshibin2008@xjtu.edu.cn

1Corresponding author.

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received January 18, 2017; final manuscript received July 7, 2017; published online September 29, 2017. Assoc. Editor: Patrick S. Keogh.

J. Vib. Acoust 140(1), 014501 (Sep 29, 2017) (7 pages) Paper No: VIB-17-1021; doi: 10.1115/1.4037509 History: Received January 18, 2017; Revised July 07, 2017

Fast time-varying (FTV) phenomena, such as significant speed changes, FTV stiffness, and vibration signals with fast-oscillated instantaneous frequency (IF), carry critical fault information of high-speed rotating machines. However, the mechanism of FTV phenomenon remains unclear, and conventional methods cannot characterize the FTV features. In this study, the FTV vibration mechanism for rotor–stator contact systems is first revealed, and then, a novel fast-modulation-based rub-impact detection method (FRiDM) is significantly developed to extract the FTV features and thus promote the effectiveness of rub-impact diagnosis. The FTV vibration mechanism indicates that the fast-oscillated modulation of the vibration signal is the physical property, and the fast oscillation of IF is the mathematical nature. By theoretical and experimental study, it is demonstrated that the FTV features of the rotor–stator contact system are periodic for the periodic motion but aperiodic for the quasi-periodic and chaotic motions. Finally, the validity of the proposed FTV vibration mechanism and FRiDM is verified by the application to the rub-impact diagnosis of a bearing life testing rig and a dual-rotor turbine engine. The study results provide a potential way to nonlinear behavior identification and fault localization of sophisticated rotor systems.

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Figures

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Fig. 1

(a) Transient stiffness and (b) IF of the rotor–stator contact system (rotating frequency fω = 210 Hz)

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Fig. 2

(a) Jeffcott rotor model and (b) rubbing-induced forces

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Fig. 3

Schematic diagram of FRiDM

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Fig. 4

The setup of the experimental equipment

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Fig. 5

Shaft orbits and Poincaré maps under different rub-impact conditions: (a) without rub-impact, (b) periodic-2 motion, (c) quasi-periodic motion, and (d) chaotic motion

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Fig. 6

FRiDM results: (a) without rub-impact, (b) periodic-2 motion, (c) quasi-periodic motion, and (d) chaotic motion

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Fig. 7

The aero-engine bearing life test machine: (a) the photograph, (b) the sketch diagram, (c) the loading equipment and rubbing position, and (d) the rubbing position

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Fig. 8

(a) Time-history of the vibration signal, (b) root-mean-square and rotating speed, (c) segment signal, and (d) Fourier spectrum

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Fig. 9

FRiDM results: (a) TFR and IF estimation and (b) IF spectrum

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Fig. 10

(a) Vibration signal time-history, (b) root-mean-square and rotating speed, (c) segment signal, and (d) Fourier spectrum

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Fig. 11

FRiDM results: (a) TFR, (b) IF estimation, and (c) IF spectrum

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