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Odor Recognition of Thermal Decomposition Products of Electric Cables Using Odor Sensing Arrays
- Source :
- Chemosensors, Vol 9, Iss 261, p 261 (2021), Chemosensors, Volume 9, Issue 9
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- An odor sensing system with chemosensitive resistors was used to identify the gases generated from overheated cables to prevent fire. Three different electric cables for a distribution cabinet were used. The cables had an insulation layer made of polyvinyl chloride (PVC) or cross-linked polyethylene (XLPE). The heat resistance of the cables was tested by differential thermal and thermogravimetric analyses. The thermal decomposition products of the cables were investigated by gas chromatography-mass spectrometry (GC-MS). For the odor sensing system, two types of 16-channel array were used to detect the generated gases. One contains high-polarity GC stationary phase materials and the other contains GC stationary phase materials of high to low polarity. The system could distinguish among three cable samples at 270 °C with an accuracy of about 75% through both arrays trained with machine learning. Furthermore, the system could achieve a recall rate of 90% and a precision rate of 70% when the abnormal temperature was set above the cables’ allowable conductor temperature at 130 °C. The odor sensing system could effectively detect the abnormal heating of the cables before the occurrence of fire. Therefore, it is helpful for fire prediction and detection systems in factories and substations.
- Subjects :
- Thermogravimetric analysis
safety devices
artificial olfaction
Materials science
carbon black
GC materials
QD415-436
sensor array
Biochemistry
Analytical Chemistry
law.invention
chemistry.chemical_compound
decomposition of electric cable
Sensor array
law
odor discrimination
Thermal
Physical and Theoretical Chemistry
Composite material
Thermal decomposition
Polyethylene
odor sensor
Polyvinyl chloride
machine learning
chemistry
Odor
chemical sensing
Resistor
Subjects
Details
- Language :
- English
- ISSN :
- 22279040
- Volume :
- 9
- Issue :
- 261
- Database :
- OpenAIRE
- Journal :
- Chemosensors
- Accession number :
- edsair.doi.dedup.....a4b43d08dde296166e678ccf71cc4197