Application of Blind Source Separation in Ultrasonic NDE

Author

Wu, Ying ; Tian-tai Guo ; Zhang, Bo ; Guo, Lin ; Wu, Jun-Jie ; Zhao, Liang

Author_Institution

Coll. of Metrol. Technol. & Eng., China Jiliang Univ., Hangzhou, China

Volume

3

fYear

2010

fDate

6-7 March 2010

Firstpage

115

Lastpage

118

Abstract

Blind source separation (BSS) allows the recovery of unknown signals from observed signals mixed by an unknown propagation medium, and is a promising technique for signal processing and data analysis. In ultrasonic nondestructive evaluation (NDE), BSS can serve at least three purposes: defect classification, system modeling and noise reduction. This paper discusses the application of BSS in ultrasonic NDE, and explores the implementation of independent component analysis (ICA) in separation of ultrasonic signals. Simulation results were given, which showed that different source signals can be separated using ICA, and the conclusion is that BSS can play a very important role in ultrasonic NDE.

Keywords

blind source separation; signal processing; ultrasonic materials testing; blind source separation; defect classification; noise reduction; signal processing; system modeling; ultrasonic NDE; ultrasonic nondestructive evaluation; Autoregressive processes; Blind source separation; Data analysis; Data engineering; Educational technology; Independent component analysis; Mathematical model; Object detection; Signal processing; Source separation; Blind source separation (BSS); independent component analysis (ICA); nondestructive evaluation (NDE); signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6388-6

Electronic_ISBN

978-1-4244-6389-3

Type

conf

DOI

10.1109/ETCS.2010.600

Filename

5459914