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

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...

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Bibliographic Details
Published inSensors & transducers Vol. 193; no. 10; p. 74
Main Authors Seifert, Rolf, Keller, Hubert B, Illyaskutty, Navas, Knoblauch, Jens, Kohler, Heinz
Format Journal Article
LanguageEnglish
Published Toronto IFSA Publishing, S.L 01.10.2015
Subjects
Cables
Calibration
Carbon monoxide
Conductance
Electric cables
Electrical installations
Emission analysis
Emissions
Gas sensors
Gases
Numerical analysis
Pyrolysis
Sensor arrays
Sensors
Signal analysis
Studies
Temperature
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Summary: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.
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ISSN:2306-8515
1726-5479