A pattern recognition algorithm for the blind discrimination of liquid and solid filled munitions

Author

Roberts, Randy S. ; Lewis, Paul S. ; Vela, Octavio A.

Author_Institution

Los Alamos Nat. Lab., NM, USA

Volume

2

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

1310

Abstract

A new pattern recognition algorithm is described for the nondestructive evaluation of stockpiled munitions. The algorithm performs blind classification on munitions to determine if they are liquid-filled (chemical) or solid-filled (conventional) munitions. The algorithm uses attributes of the acoustic spectrum of the munition under inspection to perform the discrimination. Results are presented on the performance of the pattern recognition algorithm on a large set of data collected from chemical and conventional munitions at the US Tooele Army Depot.

Keywords

feature extraction; US Tooele Army Depot; acoustic spectrum; blind classification; blind discrimination; chemical munitions; conventional munitions; liquid filled munitions; nondestructive evaluation; pattern recognition algorithm; solid filled munitions; Algorithm design and analysis; Chemicals; Classification algorithms; Feature extraction; Inspection; Laboratories; Pattern recognition; Resonance; Solids; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540911

Filename

540911