摘要
为了对镁碳质耐火材料损伤声发射信号进行有效的特征提取,研究了利用非线性领域的分形方法进行特征提取的可行性。首先利用仿真声发射信号研究了多重分形谱参数(Δα、Δf、K),广义分形维数均值Mean Dq等参数表征信号频谱结构特征的能力,结果表明多重分形谱宽Δα能够有效的表征信号的频谱特征;然后对镁碳质耐火材料进行单轴压缩试验,采集损伤声发射信号,并计算出两种典型损伤声发射信号的多重分形谱宽Δα,通过多重分形谱宽的分布证实了利用其进行特征提取是可行的。
In order to extract the feature of damage acoustic emission signal of magnesia carbon refractory effective, it studied the feasibility of feature extraction method by usingfractal theory of nonlinear field, A t first, it utilized the simulation signal to study the signal spectrum structure features characterizing capability of parameters of multi-fructal spectrum (△α, △f, K), general dimension mean MeanDq et al, and the results show that the width values of multi-fractal spectrum can characterized the signal spectrum characteristics effectively; then the magnesium carbon refractory is subjected to uniaxial compression test, and collects damage acoustic emission signals, and calculates the multi-fractal spectral width △α of two typical damage acoustic emission signals, according to the distribution of multi-fractal spectrum width it confirmes that the feature extraction by using it is feasible.
出处
《机械设计与制造》
北大核心
2015年第8期53-56,共4页
Machinery Design & Manufacture
基金
国家自然科学基金资助项目(51075310
51405353)
教育部新世纪人才支持计划资助项目(NCET-12-0715)
湖北省自然科学基金资助项目(2012FFA022)
教育部博士点专项基金资助项目(20114219110003)
关键词
镁碳质耐火材料
声发射信号特征提取
多重分形谱参数
广义分形维数
仿真声发射信号
Magnesia-Carbon Refractory
Feature Extraction of Acoustic Emission Signal
Parameters of Multi- Fractal Spectrum
Generalized Dimension
Simulation of Acoustic Emission Signal