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    江军

    • 研究员 博士生导师
    • 招生学科专业:
      电气工程 -- 【招收博士、硕士研究生】 -- 自动化学院
      能源动力 -- 【招收博士、硕士研究生】 -- 自动化学院
    • 性别:男
    • 学历:研究生(博士后)
    • 学位:工学博士学位
    • 所在单位:自动化学院
    • 办公地点:电气楼414室
    • 联系方式:jiangjun0628#nuaa.edu.cn(联系时将#替换为@)

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    Multi-gas detection in power transformer oil based on tunable diode laser absorption spectrum

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    所属单位:自动化学院

    发表刊物:IEEE Trans Dielectr Electr Insul

    摘要:Online dissolved gas analysis (DGA) is an effective technique to obtain the health status information of insulation oil in power transformers. The typical hydrocarbon gases (methane, ethyne, ethene, ethane) decomposed from insulation oil, are the key indicators to diagnose the fault type and severity. To realize contactless and field measurement, a multi-gas detection system based on tunable diode laser absorption spectrum (TDLAS) is proposed in this paper. Critical technique problems on the light source, long path gas cell, and the topology for multi-gas detection are investigated. Individual central wavelengths of hydrocarbon gases are set at as 1653.72 nm for methane, 1530.37 nm for ethyne, 1620.04 nm for ethene and 1679.06 nm for ethane in the near infrared band. A 10.13 m long multi-pass gas cell is developed with the advantage of anti-vibration design. To share the optical absorption path, an optical switch is adopted to merge the multi-gas detection system. The high sensitivity of the TDLAS multi-gas detection system was demonstrated in the laboratory calibrations, with ethyne detection reaching sub-parts per million level, and the other hydrocarbon gases achieving ppm level. Furthermore, the comparison detection in the real 220 kV power transformer gave evidence to the effective monitoring of DGA, proving it an alternative approach to online detection of multiple gases in power transformer oil. © 1994-2012 IEEE.

    ISSN号:1070-9878

    是否译文:

    发表时间:2019-02-01

    合写作者:Wang, Zhuowei,Han, Xiao,占小红,张潮海,Ma, Guoming,Li, Chengrong,Luo, Yingting

    通讯作者:江军