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research-article

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 City Liaoning Prov. China 116026
wlyxpf@dlmu.edu.cn

Guobin Li

Professor, Marine Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian City Liaoning Prov. China 116026
guobinli88@163.com

Ting Liu

Dalian Test & Control Institute, No.16 Binhai Road, Dalian City Liaoning Prov. China 116013
liutingltltltlt@163.com

Hongtao Gao

Professor, Marine Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian City Liaoning Prov. China 116026
gaohongtao@dlmu.edu.cn

Guoyou Wang

Lecturer, Marine Engineering College, Dalian Maritime University, No.1 Linghai Road, Dalian City Liaoning Prov. China 116026
wgy@dlmu.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4038865 History: Received November 12, 2017; Revised December 28, 2017

Abstract

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.

Copyright (c) 2017 by ASME
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