摘要
以信息熵理论为基础,针对马氏体相变过程声发射信号,利用基于频域分析的小波包能谱熵,得到相变过程声发射信号频率空间的能量分布信息。提取出不同类型信号的能谱熵特征值,并利用基于时域分析的吉布斯概率熵,以能谱熵特征值作为幅度谱的子区间划分参数,实现马氏体相变过程声发射信号吉布斯概率熵变化过程的准确描述。分析表明,这些信息熵特征值可以准确评价马氏相变过程的声发射信号变化规律。
Based on the theory of information entropy,acoustic emission（AE） signals of martensite generated during the process of its phase transition was studied.One kind of accurate descriptive method was put forward by collecting the wavelet packet energy spectrum entropy,analyzing information of energy distribution under frequency domain,then extracting different signals＇ energy spectrum entropy eigenvalue and classifying the parameters by using the energy spectrum entropy eigenvalue as the amplitude spectrum＇s sub-interval under gibbs entropy of time domain analyzing.The results show that the eigenvalues of information entropy can accurately evaluate the variation of AE signals generated from martensite transformation.
出处
《金属热处理》
CAS
CSCD
北大核心
2012年第4期113-116,共4页
Heat Treatment of Metals
关键词
马氏体相变
GCR15钢
45钢
声发射
信息熵
martensite transformation
GCr15 steel
45 steel
acoustic emission
information entropy
