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
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;
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
DOI :
10.1109/CISP.2009.5301955
