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Early Detection of Emissions Preceding Fires from Overloaded Electric Cables: Approach with Thermo-Cyclically Operated MOG SensorArrays and Numerical Signal Analysis

Authors:
Rolf Seifert
Hubert Keller
Navas Illyaskutty
Jens Knoblauch
Heinz Kohler

Keywords: metal oxide gas sensor; sensor array; early fire detection; pyrolysis; data analysis

Abstract:
A thermodynamically operated multi metal oxide sensor array is introduced together with a novel signal analysis approach for early detecting the emissions from overheated isolation cable materials used in electrical cabinets. The princi-pal sensor element is a thermo-cyclically operated four sensing layer array, which can yield conductance signatures appropri-ate to specifically identify gases. The obtained conductance profile shapes bear good capability for detection and identifica-tion of pyrolysis gas emissions at relatively low sample heating temperatures even before a color-change of the polyvinyl chloride (PVC)-isolation is visible. The dynamic conductance signals were evaluated using SimSens, a numerical analysis tool designed for simultaneous evaluation of conductance profiles. The results show promising pyrolysis gas identification and concentration determination capabilities in relation to the conductance profile shapes of model gases like carbon monoxide (CO) and propene.

Pages: 91 to 96

Copyright: Copyright (c) IARIA, 2015

Publication date: August 23, 2015

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-61208-426-8

Location: Venice, Italy

Dates: from August 23, 2015 to August 28, 2015