A pattern recognition algorithm for the blind discrimination of liquid and solid filled munitions
Conference
·
OSTI ID:137293
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 U.S. Tooele Army Depot.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- Defense Nuclear Agency, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 137293
- Report Number(s):
- LA-UR--95-3798; CONF-951059--1; ON: DE96002580
- Country of Publication:
- United States
- Language:
- English
Similar Records
Munitions classification using an Acoustic Resonance Spectroscopic technique
Review of systemization of the Tooele Chemical Agent Disposal Facility
Tests of the higher order turbulence model for atmospheric circulations (HOTMAC) at Deseret Chemical Depot
Conference
·
Tue Nov 30 23:00:00 EST 1993
·
OSTI ID:10107421
Review of systemization of the Tooele Chemical Agent Disposal Facility
Technical Report
·
Mon Jul 01 00:00:00 EDT 1996
·
OSTI ID:270085
Tests of the higher order turbulence model for atmospheric circulations (HOTMAC) at Deseret Chemical Depot
Technical Report
·
Sat Oct 31 23:00:00 EST 1998
·
OSTI ID:290975