[1] |
韩慧慧. 不同背景气体对SF6分解产物检测结果影响的研究[J]. 高压电器, 2019, 55(5):226-229.
|
|
Han Huihui. Research on effects of testing of SF6 decomposition product in different background gas[J]. High Voltage Apparatus, 2019, 55(5):226-229.
|
[2] |
唐炬, 杨东, 曾福平, 等. 基于分解组分分析的SF6设备绝缘故障诊断方法与技术的研究现状[J]. 电工技术学报, 2016, 31(20):41-54.
|
|
Tang Ju, Yang Dong, Zeng Fuping, et al. Research status of SF6 insulation equipment fault diagnosis method and technology based on decomposed components analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(20):41-54.
|
[3] |
卓晓冬. 电气设备绝缘系统局部放电检测技术研究[J]. 电子科技, 2019, 32(11):83-86.
|
|
Zhuo Xiaodong. Research on partial discharge detection technology of electrical equipment insulation system[J]. Electronic Science and Technology, 2019, 32(11):83-86.
|
[4] |
杨芮, 赵建勇, 石磊, 等. 全封闭组合电器室SF6气体泄漏分布规律与气体检测布置策略[J]. 科学技术与工程, 2019, 19(9):99-107.
|
|
Yang Rui, Zhao Jianyong, Shi Lei, et al. The distribution law of SF6 gas leakage and gas monitor layout strategy in gas insulated substation[J]. Science Technology and Engineering, 2019, 19(9):99-107.
|
[5] |
张晓星, 姚尧, 唐炬, 等. SF6放电分解气体组分分析的现状和发展[J]. 高电压技术, 2008, 34(4):664-669.
|
|
Zhang Xiaoxing, Tang Ju, et al. Actuamity and perspective of proximate analysis of SF6 decomposed products under partial discharge[J]. High Voltage Engineering, 2008, 34(4):664-669.
|
[6] |
陈秀珍, 郭伟, 高凡夫, 等. 基于气体分解产物检测技术发现的SF6电气设备放电缺陷分析[J]. 高压电器, 2019, 55(10):87-92.
|
|
Chen Xiuzhen, Guo Wei, Gao Fanfu, et al. Analysis of partial discharge defects in SF6 electrical equipment by detecting gas decomposition products[J]. High Voltage Apparatus, 2019, 55(10):87-92.
|
[7] |
唐炬, 潘建宇, 姚强, 等. SF6在故障温度为300-400℃时的分解特性研究[J]. 中国电机工程学报, 2013, 33(31):202-210.
|
|
Tang Ju, Pan Jianyu, Yao Qiang, et al. Decomposition characteristic study of SF6 with fault temperature between 300-400℃[J]. Proceedings of the CSEE, 2013, 33(31):202-210.
|
[8] |
李新. 基于紫外差分吸收光谱的SF6特征分解组分SO2和CS2定量检测研究[D]. 重庆: 重庆大学, 2016.
|
|
Li Xin. The quantitative detection research of SF6 characteristic decomposition components SO2 and CS2 based on ultraviolet differential optical absorption spectrometry[D]. Chongqing: Chongqing University, 2016.
|
[9] |
郑海明, 蔡小舒, 陈军. 压力对SO2近紫外区吸收特性影响的实验研究[J]. 中国电机工程学报, 2006, 26(18):101-105.
|
|
Zheng Haiming, Cai Xiaoshu, Chen Jun. Experimental study of pressure effect on SO2 absorption characteristic in NUV region[J]. Proceedings of the CSEE, 2006, 26(18):101-105.
|
[10] |
Zhang X X, Tian S S, Xiao S, et al. Partial discharge decomposition characteristics of typical defects in the gas chamber of SF6 insulated ring network cabinet[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2017, 4(8):1794-1801.
|
[11] |
Qi B, Li C R, Wu Z J, et al. Experimental study on the relationship between partial discharge and gas decomposition products in SF6 insulated electrical equipments[J]. IEEE Transactions on DieIectrics and Electrical Insulation, 2009, 7(4):392-395.
|
[12] |
佘新. 针板电极下负极性直流局部放电量与SF6分解的关联特性[D]. 武汉: 武汉大学, 2017.
|
|
She Xin. Correlaction characteristics between negative DC PD quantities and SF6 decomposition under the needle-plate electrode[D]. Wuhan: Wuhan University, 2017.
|
[13] |
张晓星, 周红, 崔兆仑, 等. 运用紫外荧光法定量检测SF6特征分解产物SO2[J]. 电力自动化设备, 2018, 38(6):177-182.
|
|
Zhang Xiaoxing, Zhou Hong, Cui Zhaolun, et al. Quantit-ative detection of SO2 produced by SF6 decomposition based on ultraviolet fluorescence method[J]. Electric Power Automation Equipment, 2018, 38(6):177-182.
|
[14] |
周永言, 祁炯, 黎晓淀, 等. 六氟化硫电气设备故障气体分析和判断方法:中国,DL/T1359-2014[P]. [2015-2-01].
|
|
Zhou Yongyan, Qi Jiong, Li Xiaodian, et al. Analysis and judgment method of SF6 electrical equipment failure gas: China,DL/T1359-2014[P]. [2015-2-01].
|
[15] |
王辉, 李晓军, 李舟. SF6电气设备绝缘故障诊断用SO2、H2S气体传感器研究进展[J]. 高压电器, 2019, 55(8):1-9.
|
|
Wang Hui, Li Xiaojun, Li Zhou. Research progress of SO2 and H2S gas sensors for insulation fault detection of SF6 electrical equipment[J]. High Voltage Apparatus, 2019, 55(8):1-9.
|
[16] |
张英, 余鹏程, 李军卫, 等. 气体传感器检测SF6断路器中分解物SO2异常分析和探讨[J]. 电气应用, 2017, 36(4):33-35.
|
|
Zhang Ying, Yu Pengcheng, Li Junwei, et al. Analysis and discussion of SO2 abnormality detected by gas sensor in SF6 circuit breaker[J]. Electrical Application, 2017, 36(4):33-35.
|
[17] |
赵宇, 王先培, 胡红红, 等. 基于紫外光谱检测的GIS内多类故障早期预警[J]. 光谱学与光谱分析, 2015(2):438-442.
pmid: 25970908
|
|
Zhao Yu, Wang Xianpei, Hu Honghong, et al. Early warning for various internal faults of GIS based on ultraviolet spectroscopy[J]. Spectroscopy and Spectral Analysis, 2015(2):438-442.
pmid: 25970908
|
[18] |
张晓星, 李新, 刘恒, 等. 基于悬臂梁增强型光声光谱的SF6特征分解组分H2S定量检测[J]. 电工技术学报, 2016, 31(15) :187-196.
|
|
Zhang Xiaoxing, Li Xin, Liu Heng, et al. The quantitateve detection of SF6 characteristic decomposition component H2S based on cantilever enhanced photoacoustic spectrometry[J]. Transactions of China Electrotechnical Society, 2016, 31(15):187-196.
|
[19] |
张英, 张晓星, 李军卫, 等. 基于光声光谱法的SF6气体分解组分在线监测技术[J]. 高电压技术, 2016, 42(9):2995-3002.
|
|
Zhang Ying, Zhang Xiaoxing, Li Junwei, et al. On-line monitoring technology of SF6 gas decomposition components based on photoacoustic spectroscopy[J]. High Voltage Engineering, 2016, 42(9):2995-3002.
|
[20] |
刘溟, 邹建明, 邱睿, 等. SF6及SF6/N2中分解气体在气体绝缘传输管道内的扩散特性计算[J]. 电工技术学报, 2020, 35(11):2478-2490.
|
|
Liu Ming, Zou Jianming, Qiu Rui, et al. The computation of diffusion characteristics of decomposition gases in SF6 and SF6/N2 within gas insulated transmission lines[J]. Transactions of China Electrotechnical Society, 2020, 35(11):2478-2490.
|
[21] |
Zhou Z, Feng B, Wan T, et al. Investigation on diffusion process of water molecules in sulfur hexafluoride electric equipments based on CFD technique[C]. Wuhan: Proceedings of the Power Engineering and Automation Conference, 2012.
|
[22] |
周舟, 万涛, 龚尚昆, 等. 基于CFD技术的六氟化硫电气设备中气体湿度测量方法研究[J]. 电工技术学报, 2014(S1):29-35.
|
|
Wan Tao, Gong Shangkun, et al. Investigation on measurement method of gas humidity in sulfur hexafluoride electric equipments based on CFD technique[J]. Transactions of China Electrotechnical Society, 2014(S1):29-35.
|
[23] |
张驰, 蔡萱, 张莹, 等. 基于流体计算力学模拟技术研究氦示踪气体分子在六氟化硫绝缘气体中的扩散情况[J]. 湖北电力, 2018, 44(1):35-42.
|
|
Zhang Chi, Cai Xuan, Zhang Ying, et al. Study on diffusion of helium tracer gas molecule in sulfur hexafluoride insulating gas based on CFD simulation technology[J]. Hubei Electric Power, 2018, 44(1):35-42.
|