2012
DOI: 10.1109/tdei.2012.6180262
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Detection of SF6 decomposition products generated by DC corona discharge using a carbon nanotube gas sensor

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Cited by 29 publications
(12 citation statements)
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“…When partial discharge or overheating faults occur in the electrical equipment, which are usually caused by internal insulation defects, the gasinsulated SF 6 may easily decompose and produce a variety of by-products with the inevitable trace H 2 O and O 2 in the gas chamber [1][2][3]. The composition and content of these by-products can be used to determine the types, sizes, and causes of partial discharge and provide reliable information to evaluate the insulation status of the equipment [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…When partial discharge or overheating faults occur in the electrical equipment, which are usually caused by internal insulation defects, the gasinsulated SF 6 may easily decompose and produce a variety of by-products with the inevitable trace H 2 O and O 2 in the gas chamber [1][2][3]. The composition and content of these by-products can be used to determine the types, sizes, and causes of partial discharge and provide reliable information to evaluate the insulation status of the equipment [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Since the decomposition byproducts accumulate in a closed GIS tank depending on the total PD activities, the chemical methods are suitable for long-term trend-based diagnosis [9]. As an alternative way for the electrical methods, chemical byproducts analysis has been used as a powerful method for GIS diagnosis [9].…”
Section: Introductionmentioning
confidence: 99%
“…As an alternative way for the electrical methods, chemical byproducts analysis has been used as a powerful method for GIS diagnosis [9]. Some researches concluded that CF 4 was a typical gas generated by partial discharge on the spacer surface.…”
Section: Introductionmentioning
confidence: 99%
“…Gas sensors under study for on-line monitoring and fault diagnosis of electrical equipment mainly include carbon nanotube gas sensors [12,13], titanium nanotube gas sensors [14,15], as well as graphene gas sensors [16,17]. Some research results related to GIS partial discharge monitoring field have been achieved [18].…”
Section: Introductionmentioning
confidence: 99%