作者本文内容简介:高文胜,男,1968年,博士后,从事高电压技术研究
作者单位:高文胜(清华大学电机系)
谈克雄(清华大学电机系)
严璋(西安交通大学电气工程学院)
参考文献:
[1]IEC Publication 567. Guide for the Sampling of Gases and of Oil from Oil-filled Electrical Equipment and for the Analysis of Free and Dissolved Gases. 1977.
[2]中国电能成套设备总公司. 500千伏变压器质量情况汇编. 电力部电力科学研究院. 1996.
[3]Duval M,Langdeau F et al. Acceptable Dissolved Gas-in-oil Concentration Levels Versus Age in Power and Instrument Transformers. Minutes of the 56th Annual International Conference of Doble Clients ,Sec. 10-3.1/10-3.9,1989.
[4]Halstead W D. A Thermodynamic Assessment of the Formation of Gaseous Hydrocarbons in Faulty Transformers. J.Inst. Petroleum. 1973;59(9):239~241.
[5]Rogers R R, Barraclough B et al. CEGB Experience of the Analysis of Dissolved Gas in Transformer Oil for the Detection of Incipient Faults. IEE Conference on Diagnostic Testing of High Voltage Power Apparatus in Service 6~8 March,1973.
[6]IEC Publication 599. Interpretation for the Analysis of Gases in transformers and other Oil-Filled Electrical Equipment in Service.1978.
[7]Rogers R R. IEEE and IEC Codes to Interpret Incipient Faults in Transformer, Using Gas in Oil Analysis. IEEE Trans. Electr. Insul, Vol. EI-13, No.5, October,1978:349~354.
[8]电气学会. 变压器の预防保全技术の现状とその动向. 电气学会技术报告(Ⅱ部)第334号,1990年8月:3~26.
[9]操敦奎. 变压器油中气体分析与诊断. 湖北电力试验研究所,湖北,1987:166~168.
[10]Church J O et al. Analyze Incipient Faults with Dissolved-Gas Nomograph . Electrical World ,Oct.1987: 40~44.
[11]Kawamura T, et al. Dissolved Gas Analysis. Its Use for the Maintenance of Transformers. CIGRE Paper 12-05,1986.
[12]Riese C E ,Stuart J D. TOGA—An Expert System for Transformer Fault Diagnosis, Artificial Intelligence Application in Chemistry ,American Chemical Society Ed.,1986:25~30.
[13]Marin M A, Jasmin J L. Cooperating Expert System for Diagnoses of Electrical Apparatus. Conf. on Expert System Applications for the Electric Power Industry, EP-I, Florida, June 5-8,1989.
[14]Zhang Y, Liu Y, et al. An artificial neural network approach to transformer fault diagnosis. IEEE Trans. on Power Delivery, 1996;11(4):1836~1841.
[15]徐文,王大忠,周泽存,陈珩. 结合遗传算法的人工神经网络在电力变压器故障诊断中的应用.中国电机工程学报,1997;17(2):109~112.
[16]高宁. 基于模糊数学和神经网络的变电设备绝缘诊断技术的研究.[博士学位论文]. 西安交通大学电气工程学院, 1997.
[17]黄鞠铭. BP网络在基于DGA变压器故障诊断中的应用. 高电压技术,1996;(2):21~23.
[18]王财胜,孙才新 等. 变压器色谱监测中的BPNN故障诊断法.中国电机工程学报,1997;17(5):322~325.
[19]Vanegas O, Mizuno Y, et al. Diagnosis of Oil-insulated Power Apparatus by Using Neural Network Simulation. IEEE Transactions on Dielectrics and Electrical Insulation,1997;4(3):290~299.
[20]Esp D G and Carrillo M. Data Mining Applied to Transformer Oil Analysis Data, Conference Record of the 1998 IEEE International Symposium on Electrical Insulation, Arlington, Virginia, USA ,June 7-10,1998:12~15.
[21]Tomsovic K, Tapper M, Ingvarsson T. A Fuzzy Information Approach to Integrating Different Transformer Diagnostic Methods. IEEE Trans. On Power Delivery,Jan, 1993;8(3):1638~1646.
[22]Lin.C.E, Lin.J.M, et al. An Expert System for Transformer Fault Diagnosis Using Dissolved Gas Analysis. IEEE Trans. On Power Delivery, 1993;8(1):231~238.
[23]Huang Yann-Chang,Yang Hong-Tzer,and Huang Ching-Lien, Developing a New Transformer Fault Diagnosis System through Evolutionary Fuzzy Logic. IEEE Trans. On Power Delivery,April, 1997;12(2):761~767.
[24]何跃英,江荣汉.基于模糊理论的电力设备故障诊断专家系统. 电工技术学报,1994;(8):43~46.
[25]王大忠,徐文,周泽存,陈珩.模糊理论、专家系统及人工神经网络在电力变压器故障诊断中的应用—基于油中溶解气体进行分析诊断.中国电机工程学报. 1996;16(5):349~353.
本文关键字:变压器 电工文摘,电工技术 - 电工文摘