Detection of acetylene dissolved in insulation oil using pt-decorated ZnO gas sensor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Oil-insulated transformer is one of the important equipments in the current high-voltage transmission system and it has contributed to the reduction of transmission power loss. However, abnormal phenomena, such as over-heat, discharge and so on, would appear in the oil-insulated transformer. Currently, gas chromatography is the most common diagnosis technique for the transformer diagnosis which is not suitable for rapid detection in the operation field. Therefore, it is necessary to develop a more efficient diagnostic method to identify the abnormal phenomena. In this paper, we demonstrated a platinum modified ZnO gas sensor, which was fabricated by dielectrophoresis (DEP) integration method, to detect acetylene gas dissolved in the insulating oil after arc discharge occurred inside the insulating oil. In addition, the influence of discharge voltage to sensor response was investigated and the response was compared to quantitative analysis obtained by gas chromatography. Relationship between the sensor response and the concentration of acetylene gas dissolved suggested a possibility of quantitative analysis of acetylene by platinum (Pt) decorated ZnO sensor.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1485-1488
Number of pages4
ISBN (Electronic)9781509025961
DOIs
Publication statusPublished - Feb 8 2017
Event2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore
Duration: Nov 22 2016Nov 25 2016

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2016 IEEE Region 10 Conference, TENCON 2016
Country/TerritorySingapore
CitySingapore
Period11/22/1611/25/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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