局部放电信号的色系映射(英文)

被引:3
作者
MRagaa [1 ]
GRJones [2 ]
AGDeakin [2 ]
JWSpencer [2 ]
机构
[1] NorthernPowergrid
[2] DepartmentofElectricalEngineeringandElectronics,CentreforIntelligentMonitoringSystems,UniversityofLiverpool
关键词
chromatic; chromatic mapping; chromatic processing; partial discharges; quarter cycle; trends of signal;
D O I
暂无
中图分类号
TM855 [绝缘的试验与检查];
学科分类号
080803 ;
摘要
This contribution describes the use of chromatic techniques for quantifying signatures of partial discharges(PD).A brief description of the basis of chromatic monitoring is given along with explanations of how the approach may be applied for addressing signals produced by PDs.Laboratory test data from several sources for different types of PDs,operating conditions and geometries have been subjected to the chromatic procedures.These include a point-plane gap,a sphere in a liquid and treeing in a cable.Chromatic changes in PD signals have been investigated as a function of the amplitude of the alternating voltage producing the PD,the time duration before full electrical breakdown and for different forms of PDs.Results of the chromatic processing of these data are presented in the form of a number of chromatic maps relating to different quarter cycles of the alternating voltage producing the PDs.The results show the potential of the chromatic techniques for indicating the likelihood of full electrical breakdown and for distinguishing between certain forms of PDs.A summary of the chromatic processing procedures is presented for producing chromatic maps and for adaptation in further exploring PD signal features.
引用
收藏
页码:2532 / 2540
页数:9
相关论文
共 10 条
[1]  
Partial discharge characteristics of electrical trees prior to breakdown. Lai K X,Lohrasby A,Phung B T,et al. International Symposium on Electrical Insulating Materials,2008 . 2008
[2]  
Characterisation of partial discharge signals using a chromatic approach. Ragaa M,Spencer J W,Jones G R,et al. International Conference on Gas Discharges and their Applications . 2010
[3]  
Partial discharge pattern recognition based on 2-D wavelet transform and neural network techniques. Tu Y M,,Wang Z,Crossley P A. 2002 IEEE Power Engineering Society Summer Meeting . 2002
[4]  
Partial discharge identification using a support vector machine. Hao L,Lewin P L,Tian Y,et al. 2005 Annual Report Conference on Electrical Insulation and Dielectric Phenomena . 2005
[5]  
Partial discharge pulse pattern recognition using an inductive inference algorithm. Abdel-Galil, T.K.,Sharkawy, R.M.,Salama, M.M.A.,Bartnikas, R. IEEE Transactions on Dielectrics and Electrical Insulation . 2005
[6]  
PD inference for the early detection of electrical treeing in insulation systems. Cavallini, Andra,Conti, Marco,Montanari, Gain Carlo,Arlotti, Cristian,Contin, A. IEEE Transactions on Dielectrics and Electrical Insulation . 2004
[7]  
"Chromatic Monitoring of Partial Discharge Signals". M Ragaa. . 2012
[8]  
Snedecor,GW,Cochran,WG. Statistical methods . 1989
[9]  
"Chromatic Monitoring of Complex Conditions". G R Jones,A G Deakin,J W Spencer. . 2008
[10]  
Characteristics of partial discharge in oil impregnated insulation using different test voltage frequencies. Ariastina W G,Blackburn T R. Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials . 2000