Accession Number:

ADA595971

Title:

Fuel Spill Identification Using Solid-Phase Extraction and Solid-Phase Microextraction. 1. Aviation Turbine Fuels (Postprint)

Descriptive Note:

Journal article

Corporate Author:

ARMSTRONG LAB TYNDALL AFB FL ENVIRONICS DIRECTORATE

Report Date:

2001-12-01

Pagination or Media Count:

9.0

Abstract:

The water-soluble fraction of aviation jet fuels is examined using solid-phase extraction and solid-phase microextraction. Gas chromatographic profiles of solid-phase extracts and solid-phase microextracts of the water-soluble fraction of kerosene- and nonkerosene-based jet fuels reveal that each jet fuel possesses a unique profile. Pattern recognition analysis reveals fingerprint patterns within the data characteristic of fuel type. By using a novel genetic algorithm GA that emulates human pattern recognition through machine learning, it is possible to identify features characteristic of the chromatographic profile of each fuel class. The pattern recognition GA identifies a set of features that optimize the separation of the fuel classes in a plot of the two largest principal components of the data. Because principal components maximize variance, the bulk of the information encoded by the selected features is primarily about the differences between the fuel classes.

Subject Categories:

  • Operations Research
  • Computer Programming and Software
  • Fuels

Distribution Statement:

APPROVED FOR PUBLIC RELEASE