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MEMS hydrogen gas sensor for in-situ monitoring of hydrogen gas in transformer oil
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Publication Year
2021-01-01
Publisher
Elsevier B.V.
Citation
Sensors and Actuators, B: Chemical, Vol.326
Keyword
Al2O3 passivation layerDissolved gas analysisHydrogen gas sensorTransformer insulation oilWheatstone bridge
Mesh Keyword
Digital multimetersHydrogen gas sensorsIn- situ monitoringLong term monitoringLong term stabilityMonolithically integratedOptimal temperatureTemperature variation
All Science Classification Codes (ASJC)
Electronic, Optical and Magnetic MaterialsInstrumentationCondensed Matter PhysicsSurfaces, Coatings and FilmsMetals and AlloysElectrical and Electronic EngineeringMaterials Chemistry
Abstract
Dissolved hydrogen gas analysis (DHGA) is a key aspect that defines the operational status of a transformer and is vital to the maintenance of safety standards in the power grid. In this report, we proposed, MEMS gas sensor arrays for DHGA with a specially designed system having a Wheatstone bridge circuitry with two pairs of resistors. The optimal temperature of the sensor was controlled using a monolithically integrated in-plane microheater and a temperature sensor to monitor the temperature change in the oil and to compensate for the temperature variations in resultant hydrogen sensor signals. The fabricated sensor in a transformer oil showed excellent H2 response (ΔVout = 62μV to 10 ppm and 4.71 mV to 2000 ppm). In addition, long-term stability of sensor performance was observed, confirming that the Al2O3 passivation layer and packaging were effective to enhance the robustness of the sensor in an oil environment. A customized, compact, and portable sensor interface electronics was developed and applied to the sensor system. The results obtained with the developed sensor interface were very similar to those measured with a digital multimeter. Our results demonstrate that the developed sensor system and packaging are very promising for long term monitoring of the operational status of transformers.
ISSN
0925-4005
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31582
DOI
https://doi.org/10.1016/j.snb.2020.128989
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Type
Article
Funding
This research work is supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) (Grant number: 20172220200110 ).
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Lee, Kee Keun Image
Lee, Kee Keun이기근
Department of Electrical and Computer Engineering
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