Feature extraction of frictional vibration based on CWT time-frequency image

2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI:10.1109/ICICIP.2010.5564312

Chaoming Huang, Hongliang Yu, D. Guan, Guobin Li, Qili Wu

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引用次数: 2

Abstract

A method to extract features of frictional vibration signals was developed, using continuous wavelet transform (CWT) time-frequency image (TFI) and image processing to analyze the vibration signals, since the frictional vibration signals contain a wealth of information about the interface's fault state and friction wear state. TFIs were generated by CWT theory from the vibration signals produced by cylinder and piston ring samples sampled from 6S50MC marine diesel engine under two different lubrication statuses. And characteristic parameters obtained by image segmentation of TFIs were analyzed in order to establish the intrinsic relationship between the characteristic parameters and friction wear status. The results show that regular variations occur to the characteristic parameters with the conduct of the friction process, and characteristic parameters of different lubrication condition show significant differences. The CWT TFI characteristic parameters of vibration signals can be used to quantitatively describe vibration signal characteristic.

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基于CWT时频图像的摩擦振动特征提取

针对摩擦振动信号中包含丰富的界面故障状态和摩擦磨损状态信息，提出了一种基于连续小波变换时频图像和图像处理的摩擦振动信号特征提取方法。利用CWT理论，对6S50MC船用柴油机汽缸和活塞环在两种不同润滑状态下的振动信号进行了分析。并对tfi图像分割得到的特征参数进行分析，建立特征参数与摩擦磨损状态之间的内在关系。结果表明:随着摩擦过程的进行，特征参数呈规律性变化，不同润滑条件下的特征参数差异显著;振动信号的CWT TFI特征参数可以定量描述振动信号的特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2010 International Conference on Intelligent Control and Information Processing

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