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Research Papers

A Detection Method for Friction Vibration Based on Harmonic Wavelet Packet Transform and Cross-Correlation Analysis

[+] Author and Article Information
Pengfei Xing

Marine Engineering College,
Dalian Maritime University,
No. 1 Linghai Road,
Dalian 116026, Liaoning Province, China
e-mail: wlyxpf@dlmu.edu.cn

Guobin Li

Professor
Marine Engineering College,
Dalian Maritime University,
No. 1 Linghai Road,
Dalian 116026, Liaoning Province, China
e-mail: guobinli88@163.com

Ting Liu

Dalian Test & Control Institute,
No.16 Binhai Road,
Dalian 116013, Liaoning Province, China
e-mail: liutingltltltlt@163.com

Hongtao Gao

Professor
Marine Engineering College,
Dalian Maritime University,
No. 1 Linghai Road,
Dalian 116026, Liaoning Province, China
e-mail: gaohongtao@dlmu.edu.cn

Guoyou Wang

Marine Engineering College,
Dalian Maritime University,
No. 1 Linghai Road,
Dalian 116026, Liaoning Province, China
e-mail: wgy@dlmu.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 November 12, 2017; final manuscript received December 28, 2017; published online January 24, 2018. Assoc. Editor: Huageng Luo.

J. Vib. Acoust 140(3), 031005 (Jan 24, 2018) (8 pages) Paper No: VIB-17-1494; doi: 10.1115/1.4038865 History: Received November 12, 2017; Revised December 28, 2017

Running-in wear experiments were conducted on a spherical-on-disk tester. The vibration signals collected in the experiments were detected by a combination of harmonic wavelet packet transform (HWPT) and cross-correlation analysis (CCA) methods. Experimental results show that the friction vibration signals detected in tangential and normal directions have the characteristics of no time delay and strong correlation. Their root-mean-square (RMS) values gradually reduce and enter a steady-state of fluctuation with the experiments time, which are consistent with the variation of friction coefficient and reflect the change of wear states from the running-in wear to the stable wear. Therefore, the detection of friction vibration can be realized by a combination of HWPT and CCA methods.

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References

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Figures

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Fig. 1

Schematic diagram of CFT-I wear tester: (a) experiment device and (b) tribological pair

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Fig. 2

Frequency domain distribution map of HWPT

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Fig. 4

(a) Waveforms of original vibration signals and cross-correlation function under different moments in 1 min, (b) waveforms of original vibration signals and cross-correlation function under different moments in 10 min, (c) waveforms of original vibration signals and cross-correlation function under different moments in 20 min, and (d) waveforms of original vibration signals and cross-correlation function under different moments in 30 min: (a) tangential direction, (b) normal direction, and (c) tangential and normal vibration cross-correlation signals

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Fig. 7

Temporal variation of the RMS of detected friction vibration signals: (a) tangential direction and (b) normal direction

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Fig. 6

Temporal variation of the friction coefficient

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Fig. 5

(a) Waveforms of detected friction vibration signals and cross-correlation function under different moments in 1 min, (b) waveforms of detected friction vibration signals and cross-correlation function under different moments in 10 min, (c) waveforms of detected friction vibration signals and cross-correlation function under different moments in 20 min, and (d) waveforms of detected friction vibration signals and cross-correlation function under different moments in 30 min: (a) tangential direction, (b) normal direction, and (c) tangential and normal friction vibration cross-correlation signals

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