Breakdown voltage modeling of Manila Paper in the presence of cavities under AC and DC conditions by Adaptive Fuzzy Logic Technique

Gaseous cavities within the insulating materials during manufacturing are potential sources of electrical trees which can lead to continuous degradation and breakdown of materials due to Partial Discharges (PD). To determine the suitability of use and to acquire the data for the dimensioning of electrical insulation systems breakdown voltage of insulators should be determined. In this paper, an Adaptive Sugeno Fuzzy Logic (ASFL) method is used to model breakdown voltages of solid insulating samples of Manila Paper due to PD based on experimental data generated in the laboratory. Two models are proposed with triangular shape of membership functions for the ASFL under both dc and ac voltage conditions. The cavities are created artificially with different dimensions. Low value of mean absolute errors of the estimated breakdown voltage of the test data shows the effectiveness of such models.

[1]  Toshinari Hashizume,et al.  The residual ac breakdown voltage of 6.6 kV dry-cured XLPE power cable under wet-accelerated aging tests , 1998 .

[2]  G. R. Nagabhushana,et al.  Breakdown of solid insulating materials under high frequency high voltage stress , 2000, Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347).

[3]  R. Szabo,et al.  Fuzzy systems for simulation and prediction of the residual life of insulating materials for electrical machines windings , 2004, Proceedings of the 2004 IEEE International Conference on Solid Dielectrics, 2004. ICSD 2004..

[4]  N. Hayakawa,et al.  Partial discharge activity in electrical insulation for high temperature superconducting (HTS) cables , 2008, IEEE Transactions on Dielectrics and Electrical Insulation.

[5]  K. Shibata,et al.  Breakdown strength at the interface between epoxy resin and silicone rubber , 2003, 2003 Annual Report Conference on Electrical Insulation and Dielectric Phenomena.

[6]  D. Fabiani,et al.  Discussion on application of the Weibull distribution to electrical breakdown of insulating materials , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.

[7]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[8]  N. Shimizu,et al.  AC breakdown properties of bamboo pulp-ice composite system at cryogenic temperature , 2007, IEEE Transactions on Dielectrics and Electrical Insulation.

[9]  M. M. Mohsin,et al.  Dielectric behaviour of insulating materials under liquid nitrogen , 2001, Proceedings: Electrical Insulation Conference and Electrical Manufacturing and Coil Winding Conference (Cat. No.01CH37264).

[10]  P.H.F. Morshuis,et al.  Degradation of solid dielectrics due to internal partial discharge: some thoughts on progress made and where to go now , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  V. Englund,et al.  A versatile method to study electrical treeing in polymeric materials , 2009, IEEE Transactions on Dielectrics and Electrical Insulation.

[12]  N. Gupta,et al.  Modeling of Electrical Tree Propagation in the Presence of Voids in Epoxy Resin , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[13]  J. Fothergill.  Ageing, Space Charge and Nanodielectrics: Ten Things We Don't Know About Dielectrics , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[14]  N.P. Kolev,et al.  Modelling of Partial Discharge Inception and Extinction Voltages Using Adaptive Neuro-Fuzzy Inference System (ANFIS) , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[15]  M. M. Mohsin,et al.  Dielectric behavior of insulating materials under liquid nitrogen , 2002 .

[16]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[17]  R. Szabo,et al.  The use of neural networks for the life prediction of insulating material of electric rotating machines , 2004, Proceedings of the 2004 IEEE International Conference on Solid Dielectrics, 2004. ICSD 2004..

[18]  S. Mohanty,et al.  Modeling of Breakdown Voltage Behaviour of Leatherite Paper in the presence of Void using Artificial Neural Network , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[19]  Stanislaw Grzybowski,et al.  Breakdown voltage behavior of PET thermoplastics at DC and AC voltages , 1999, Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300).

[20]  B. Karthikeyan,et al.  Partial discharge pattern classification using fuzzy expert system , 2004, Proceedings of the 2004 IEEE International Conference on Solid Dielectrics, 2004. ICSD 2004..

[21]  T. Lewis,et al.  The contribution of field-induced morphological change to the electrical aging and breakdown of polyethylene , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.

[23]  S. Ghosh,et al.  Modeling PD inception voltage of epoxy resin post insulators using an adaptive neural network , 1999 .

[24]  Marcelo Simoes.  Introduction to Fuzzy Control , 2003 .