Numerical Signal Analysis of Thermo-Cyclically Operated MOG Gas Sensor Arrays for Early Identification of Emissions from Overloaded Electric Cables

¹ Institute of Applied Informatics (IAI), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz1, Eggenstein-Leopshafen, D-76344, Germany
² Institute for Sensor and Information Systems (ISIS), Karlsruhe University of Applied Sciences, Moltkestr. 30, Karlsruhe, D-76133, Germany
¹ Tel.: +49-721-6082-4411, fax: +49-721-6082-5702

E-mail: rolf.seifert@kit.edu, heinz.kohler@hs-karlsruhe.de

Received: 31 August 2015 /Accepted: 5 October 2015 /Published: 30 October 2015

Abstract: A thermo-cyclically operated multi metal oxide gas sensor (MOG) array is introduced together with a novel signal analysis approach (SimSens) for identifying the emissions from overheated isolation cable materials thereby detecting the fires originated in electrical cabinets at early stages. The MOG array can yield specific conductance signatures appropriate to specifically identify gases. The obtained results bear good capability for detection and identification of pyrolysis gas emissions at relatively low sample heating temperatures even before a visible color-change of the polyvinyl chloride (PVC)-isolation material. 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.

Keywords: Oxide gas sensor, Sensor array, Early fire detection, Pyrolysis, Data analysis.

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