DocumentCode
2097617
Title
Experimental Impact Acoustic NDE System Using Spindle-Deviation Minimization Method
Author
Li, Fucui ; Jiang, Zhidi
Author_Institution
Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
3
Abstract
Classification is an important part in artificial intelligence system. In this paper, we build an experimental impact acoustic NDE (non-destructive evaluation) system based on spindle-deviation minimization (SDM) method extended from Fisher criterion. The structure of system will be given, and the performance of SDM is discussed. The results show that the SDM method works well, and the right rate could reach to 100% with extracting meticulous feature vectors.
Keywords
acoustic applications; minimisation; nondestructive testing; vectors; feature vector; impact acoustic NDE system; nondestructive evaluation system; spindle-deviation minimization; Acoustic scattering; Acoustical engineering; Artificial intelligence; Buildings; Composite materials; Data processing; Educational institutions; Feature extraction; Information science; Minimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5301955
Filename
5301955
Link To Document