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

Volume

40

Issue

5

fYear

1991

fDate

10/1/1991 12:00:00 AM

Firstpage

847

Lastpage

850

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;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.106309

Filename

106309