Title :
Invariance algorithms for nondestructive evaluation
Author :
Mandayam, Shreekanth A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA
Abstract :
A new class of invariant pattern recognition algorithms is required for interpreting nondestructive evaluation signals that occur during in-line inspection of components with varying material properties. This paper presents the theoretical development of these invariance algorithms and provides experimental validation of these algorithms using applications in magnetic flux leakage NDE and ultrasound NDE
Keywords :
inspection; magnetic flux; pattern recognition; ultrasonic materials testing; in-line component inspection; invariance algorithms; magnetic flux leakage; material properties; nondestructive evaluation; nondestructive evaluation signals; pattern recognition; ultrasound NDE; Inspection; Interpolation; Magnetic flux leakage; Material properties; Pattern recognition; Signal design; Signal processing; Signal processing algorithms; Testing; Ultrasonic imaging;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940570
