Time-dependent Power Spectral Density Estimation of AE signals of Rock Based on Wavelet Transform
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.
acoustic emission (AE) signals wavelet transform time-dependent power spectral density (PSD) non-stationary process
KANG Yumei ZHU Wancheng BAI Quan WU JinLin
College of Resources and Civil Engineering, Northeastern University, Shenyang, Liaoning 110004, Chin School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang, Liaoning
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
1981-1984
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）