Title :
An automated system for characterizing ultrasonic transducers using pattern recognition
Author :
Obaidat, M.S. ; Ekis, J.W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
fDate :
10/1/1991 12:00:00 AM
Abstract :
The system consists of a 3D positioning mechanism, a motion controller, a pulser/receiver with gated-peak detector, a digitizing oscilloscope, a spectrum analyzer, and a host computer. Pattern recognition techniques were used to classify and reduce the dimensionality of the transducers. It was found that the K-means algorithm was the most successful algorithm for classifying the transducers, whereas the Baye´s decision rule gave the worst performance. Feature reduction was found to be successful through the K-L transformation algorithm. Details of hardware and software implementation as well as the pattern recognition characterizing techniques and results obtained are presented. The characterizing techniques are compared
Keywords :
automatic test equipment; computerised pattern recognition; computerised signal processing; data acquisition; ultrasonic transducers; 3D positioning; ATE; Baye´s decision rule; K-L transformation algorithm; K-means algorithm; automated system; computer; cosine measure; digitizing oscilloscope; feature reduction; hardware; minimum distance; motion controller; pattern recognition; perception; potential function; software; spectrum analyzer; ultrasonic transducers; Automatic control; Control systems; Detectors; Motion analysis; Motion control; Motion detection; Oscilloscopes; Pattern recognition; Spectral analysis; Ultrasonic transducers;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
