Study On corrosion Acoustic Emission Separation Based On Blind Source Separation

摘要：

　　When corrosion signals of tank bottom is detected by online method,it is essential to identify corrosion signals of different corrosion pots.It is a new method based on blind source separation.Blind source separation has produced many arithetics,among which entropy maximization is more mature.The aim of this paper is to separate corrosion signals by using entropy maximization arithmetic.Furthermore,the separation of linear mixed acoustic emission signals is achieved through simulation.The results indicate that blind source separation is an effective method for the separation of corrosion signals.

关键词： Bottom-line detection of tanks Corrosion Signal Processing Blind Source Separation Entropy maximization algorithm

作者: Yang Yu Xiang Zhou

作者单位: School of Information Science and Engineering,Shenyang University of Technology,Shenyang,110870,P.R.China

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1597-1600

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）