Time-dependent power spectral density estimation of AE signals of rock based on wavelet transform

Author

Yumei, Kang ; Wancheng, Zhu ; Quan, Bai ; JinLin, Wu

Author_Institution

Coll. of Resources & Civil Eng., Northeastern Univ., Shenyang, China

fYear

2011

fDate

23-25 May 2011

Firstpage

1981

Lastpage

1984

Abstract

Understanding and cognition on characteristics of acoustic emission (AE) signals is the foundation and precondition of read comprehensively AE signals. Traditional Fourier amplitude spectrum and power spectral density(PSD) representations based on Fourier transform have limitations, that is, it loses any information related to time and is unable to completely reflect the non-stationary characteristics of AE signals essentially. In this paper, based on wavelet transform, the relationship between wavelet coefficient in every frequency bands and power spectral density is derived; PSD estimate method and time-dependent PSD estimate method based on wavelet transform are also presented in this paper. The feasibility of the presented method is illustrated by AE Signal of rock processing and analysis.

Keywords

Fourier transforms; acoustic emission; acoustic signal processing; amplitude estimation; spectral analysis; wavelet transforms; AE signal; Fourier amplitude spectrum; Fourier transform; acoustic emission signals; nonstationary characteristics; rock analysis; rock processing; time dependent power spectral density estimation; time-dependent PSD estimate method; wavelet coefficient; wavelet transform; Acoustic emission; Time frequency analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; acoustic emission (AE) signals; non-stationary process; time-dependent power spectral density (PSD); wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968526

Filename

5968526