文献类型：期刊文献

英文题名：Low-Power Chemiresistive Gas Sensors for Transformer Fault Diagnosis

作者：Mei, Haixia[1];Peng, Jingyi[1];Xu, Dongdong[1];Wang, Tao[2]

机构：[1]Changchun Univ, Key Lab Intelligent Rehabil & Barrier Free Disable, Minist Educ, Changchun 130022, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect Tech, Shanghai 200237, Peoples R China

年份：2024

卷号：29

期号：19

外文期刊名：MOLECULES

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001332494400001)】；

基金：This work was supported by the National Natural Science Foundation of China (62301314), the China Postdoctoral Science Foundation (2023M732198), and the Jilin Provincial Department of Education (2024LY502L13). In addition, support was provided by the China Southern Power Grid Limited Liability Company Technology Project (No. 670000KK52220023).

语种：英文

外文关键词：dissolved gas analysis; chemiresistive gas sensors; transformer fault diagnosis; low power; cross-sensitivity

摘要：Dissolved gas analysis (DGA) is considered to be the most convenient and effective approach for transformer fault diagnosis. Due to their excellent performance and development potential, chemiresistive gas sensors are anticipated to supersede the traditional gas chromatography analysis in the dissolved gas analysis of transformers. However, their high operating temperature and high power consumption restrict their deployment in battery-powered devices. This review examines the underlying principles of chemiresistive gas sensors. It comprehensively summarizes recent advances in low-power gas sensors for the detection of dissolved fault characteristic gases (H2, C2H2, CH4, C2H6, C2H4, CO, and CO2). Emphasis is placed on the synthesis methods of sensitive materials and their properties. The investigations have yielded substantial experimental data, indicating that adjusting the particle size and morphology structure of the sensitive materials and combining them with noble metal doping are the principal methods for enhancing the sensitivity performance and reducing the power consumption of chemiresistive gas sensors. Additionally, strategies to overcome the significant challenge of cross-sensitivity encountered in applications are provided. Finally, the future development direction of chemiresistive gas sensors for DGA is envisioned, offering guidance for developing and applying novel gas-sensitive sensors in transformer fault diagnosis.