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Proceedings Paper

Realization of self-diagnosis and self-calibration strategies using conventional signal processing and fuzzy approach for distributed intelligent sensor systems
Author(s): Salam Maria Srie Rezeki; Wai Chan; Malcolm R. Haskard; Dennis E. Mulcahy; David E. Davey
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Paper Abstract

This paper describes an implementation of self-diagnosis and self-calibration strategies in a microcontroller-based distributed intelligent sensor system for environment monitoring. Two different areas of interest have been considered, namely water and air quality, where ion selective electrodes and thermal conductivity gas detectors, respectively, are used as the sensing elements.

Paper Details

Date Published: 20 July 1999
PDF: 9 pages
Proc. SPIE 3673, Smart Structures and Materials 1999: Smart Electronics and MEMS, (20 July 1999); doi: 10.1117/12.354278
Show Author Affiliations
Salam Maria Srie Rezeki, Univ. of South Australia (Australia)
Wai Chan, Univ. of South Australia (Australia)
Malcolm R. Haskard, Univ. of South Australia (Australia)
Dennis E. Mulcahy, Univ. of South Australia (Australia)
David E. Davey, Univ. of South Australia (Australia)


Published in SPIE Proceedings Vol. 3673:
Smart Structures and Materials 1999: Smart Electronics and MEMS
Vijay K. Varadan, Editor(s)

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