IEEE Sensors 2004 Conference

Abstract

This work describes the use of an array of SAWs (surface acoustic wave devices) to detect and identify chemical warfare agents (nerve and mustard simulants) in a background of interferents (methanol, diesel and hexane). Even in a varying concentration and realistic gas delivery profiles, an array of SAWs is able to identify and predict the concentrations of simulants in real-time. This application differs from standard electronic noses (e-noses) as it is analytic. Much of the previous work in the field of sensor arrays and mixtures (usually binary or tertiary) tries to learn the whole sample space, due to the use of non-selective sensors. The SAWs used in this array, although not completely selective have a very high sensitivity to only the simulants. Thus, using the appropriate classification algorithms a real-time chemical detector can be realized. The system was tested with a wide range of gas profiles and was able to identify and quantitate the simulants to a high degree of accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Oct 27, 2004
Accession Number
ADA430135

Entities

People

  • Greg Harmer

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Waves
  • Alcohols
  • Algorithms
  • Chemical Detectors
  • Chemical Warfare
  • Chemical Warfare Agents
  • Detection
  • Detectors
  • Machine Learning
  • Methanols
  • Neural Networks
  • Pattern Recognition
  • Signal Processing
  • Standards
  • Steady State
  • Supervised Machine Learning
  • Surface Acoustic Waves

Readers

  • Environmental Engineering.
  • Phased Array Antenna Design.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems
  • Space
  • Space - Space Objects