Simulation on time delay estimation of EM waves emitted from PD using constrained interpolation profile (CIP) method and cross-correlation method based on in-place fast Haar wavelet transform

Measurement of partial discharge (PD) has been used to assess the condition of insulation material used in electric power equipment. Analysis of the electromagnetic (EM) waves emitted from PD is useful from the viewpoint of noncontact diagnosis because PD emits wideband EM waves. The EM waves emitted from PD is numerically visualized using the constrained interpolation profile (CIP) method and the time delay between the EM waves measured at different positions is estimated using the cross-correlation (CC) method based on the in-place fast Haar wavelet transform (IP-FHWT).

[1]  Masatake Kawada.  Fundamental Study on Locating Partial Discharge Source using VHF-UHF Radio Interferometer System , 2002 .

[2]  K. Yee.  Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media , 1966 .

[3]  T. Yabe,et al.  The constrained interpolation profile method for multiphase analysis , 2001 .

[4]  Katsuo Isaka,et al.  Visualization of Electromagnetic Waves Emitted from Partial Discharge using the Constrained Interpolation Profile (CIP) Method , 2007 .

[5]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[7]  Kenji Matsuura,et al.  Non-Contact Detection of Electromagnetic Noise Occurrence due to Partial Discharges by Spatial Phase Difference Method , 1995 .

[8]  Masatake Kawada,et al.  Fundamental Study on Direction Finding Technique for Electromagnetic Waves Emitted from a Partial Discharge using Bayesian Network , 2005 .

[9]  I. Herbst,et al.  The fast and slow signal components of partial discharges in SF/sub 6/ measurements of the electron and ion contributions to PD-signal , 1994, Proceedings of 1994 IEEE International Symposium on Electrical Insulation.

[10]  M.D. Judd,et al.  Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretation , 2005, IEEE Electrical Insulation Magazine.

[11]  S.,et al.  Numerical Solution of Initial Boundary Value Problems Involving Maxwell’s Equations in Isotropic Media , 1966 .

[12]  雛元 孝夫,et al.  ウェーブレット変換の基礎 = Wavelets made easy , 2000 .

[13]  Katsuo Isaka,et al.  Estimation of the Number of Partial Discharge Sources Using Multichannel Blind Deconvolution of Electromagnetic Waves , 2008 .

[14]  John Harris,et al.  Handbook of mathematics and computational science , 1998 .

[15]  Tomoaki Kunugi,et al.  Stability and accuracy of the cubic interpolated propagation scheme , 1997 .

[16]  Masatake Kawada,et al.  Location Technique for Multiple Partial Discharge Sources using Independent Component Analysis and Direction of Arrival Method of Electromagnetic Waves based on Bayesian Network , 2006 .

[17]  K.F. Warnick.  An intuitive error analysis for FDTD and comparison to MoM , 2005, IEEE Antennas and Propagation Magazine.

[19]  M. Kawada,et al.  Visualization of vibration phenomena on model turbine rotor using cross-correlation method based on in-place fast Haar wavelet transform , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[20]  Martin D. Judd.  Using finite difference time domain techniques to model electrical discharge phenomena , 2000, 2000 Annual Report Conference on Electrical Insulation and Dielectric Phenomena (Cat. No.00CH37132).

[21]  Ray Bartnikas,et al.  Partial discharges. Their mechanism, detection and measurement , 2002 .

[22]  G. Wanninger,et al.  Apparent charge measurement in GIS by modern diagnostic methods , 2007 .