Research on Compression Method of Acoustic Emission Signal Based on Wavelet Transform

被引：1

作者：

Wang, Zhihai ^{[1
]}

Wu, Xing ^{[1
]}

Liu, Xiaoqin ^{[1
]}

Liu, Chang ^{[1
]}

Jia, Hualong ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Kunming 650500, Peoples R China

来源：

ADVANCES IN ACOUSTIC EMISSION TECHNOLOGY | 2015年 / 158卷

关键词：

D O I：

10.1007/978-1-4939-1239-1_16

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Long-term operation of the mechanical equipment leads to structural fatigue damages. The damages always come with internal crack initiation and propagation, which radiate acoustic emission (AE) signal. It is possible to monitor the whole damage development process of mechanical equipment by AE technology. AE signal is usually collected at a high sampling rate which leads to large data sets, and occupying huge storage space. This goes against long-term online monitoring. This research uses different threshold-level settings of wavelet transform to compress raw AE signal. Compared with the original signal, the compressed signal could retain key features including energy, rms, kurtosis, etc. The signal-to-noise ratio (SNR) of the reconstruction signal also has been improved. This algorithm was confirmed by AE signal of rolling bearing in a fatigue damage test.

引用

页码：167 / 179

页数：13

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