Open AccessOnline detection technology for SF 6 decomposition products in electrical equipment: a review
Author(s) -
Fan Xiaopeng,
Li Li,
Zhou Yongyan,
Tang Nian,
Zou Zhuanglei,
Li Xiaodian,
Huang Guojun,
Liu Mingzheng
Publication year - 2018
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0573
Subject(s) - decomposition , computer science , component (thermodynamics) , electrical equipment , decomposition method (queueing theory) , functional decomposition , process engineering , reliability engineering , engineering , electrical engineering , machine learning , mathematics , physics , chemistry , organic chemistry , discrete mathematics , thermodynamics
The decomposition component analysis method can be used to monitor and diagnose the insulation state of SF 6 electrical equipment in power industry. Here, the authors firstly compared the advantages and disadvantages of various SF 6 decomposition products detection methods and analysed their feasibility of online monitoring. Then the requirements of SF 6 decomposition products online detecting technology according to the actual engineering needs were discussed. The SF 6 decomposition products online detection system has been mainly introduced from the aspects of principle, structure, detection effect, and practicability. The research points and development tendency of SF 6 decomposition products online detection system is forecasted.