P. Werle, Akbari Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression Journal Article In: Conference Record of IEEE International Symposium on Electrical Insulation , pp. 195-198
, 2002. @article{Akbari2002b,
title = {Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression},
author = {Werle, P., Akbari, A., Borsi, H., Gockenbach, E.},
year = {2002},
date = {2002-01-01},
journal = {Conference Record of IEEE International Symposium on Electrical Insulation },
pages = {195-198
},
abstract = {In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noises as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noises as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed. |
A. Akbari, Werle A continuous parameter high frequency model based on travelling waves for transformer diagnostic purposes Journal Article In: Conference Record of IEEE International Symposium on Electrical Insulation , pp. 154-157, 2002. @article{Akbari2002b,
title = {A continuous parameter high frequency model based on travelling waves for transformer diagnostic purposes },
author = {Akbari, A., Werle, P., Borsi, H., Gockenbach, E.},
year = {2002},
date = {2002-01-01},
journal = {Conference Record of IEEE International Symposium on Electrical Insulation },
pages = {154-157},
abstract = {In this contribution a new continuous parameter model for power transformers, which is based on the travelling wave theory is suggested. In this modeling approach a small partial length along the winding is considered and a continuous circuit model is used to describe the Partial Differential Equation (PDE) of the coil structure. This equation determines the characteristics of the voltage wave propagation along the winding. The experimental procedure of the PDE parameter optimization using measurements, which have been performed in the laboratory, is presented. The suggested model has been used to calculate the sectional winding transfer functions, which are required for a PD localization. Furthermore the results of a PD evaluation on a distribution transformer based on the new suggested model are illustrated. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this contribution a new continuous parameter model for power transformers, which is based on the travelling wave theory is suggested. In this modeling approach a small partial length along the winding is considered and a continuous circuit model is used to describe the Partial Differential Equation (PDE) of the coil structure. This equation determines the characteristics of the voltage wave propagation along the winding. The experimental procedure of the PDE parameter optimization using measurements, which have been performed in the laboratory, is presented. The suggested model has been used to calculate the sectional winding transfer functions, which are required for a PD localization. Furthermore the results of a PD evaluation on a distribution transformer based on the new suggested model are illustrated. |
P. Werle, Akbari Partial discharge localisation on power transformers using neural networks combined with sectional winding transfer functions as knowledge base Journal Article In: Proceedings of the International Symposium on Electrical Insulating Materials, pp. 579-582, 2002. @article{Akbari2002b,
title = {Partial discharge localisation on power transformers using neural networks combined with sectional winding transfer functions as knowledge base},
author = {Werle, P., Akbari, A., Borsi, H., Gockenbach, E.},
year = {2002},
date = {2002-01-01},
journal = {Proceedings of the International Symposium on Electrical Insulating Materials},
pages = {579-582},
abstract = {In this contribution the applicability of different neural classifiers trained by sectional winding transfer functions (SWTFs) of transformer coils for evaluating wideband electrical measured partial discharges (PD) is presented and discussed. Based on PD measurements on a distribution transformer in the laboratory it is demonstrated, that the introduced technique enables beside a determination of the apparent charge an adequate localisation of the PD origin. The performance and the reproducibility of this method leads to a short outlook on planned investigations and the possibilities for integrating this technique in online condition monitoring systems. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this contribution the applicability of different neural classifiers trained by sectional winding transfer functions (SWTFs) of transformer coils for evaluating wideband electrical measured partial discharges (PD) is presented and discussed. Based on PD measurements on a distribution transformer in the laboratory it is demonstrated, that the introduced technique enables beside a determination of the apparent charge an adequate localisation of the PD origin. The performance and the reproducibility of this method leads to a short outlook on planned investigations and the possibilities for integrating this technique in online condition monitoring systems. |
A. Akbari P.Werle, H. Borsi Partial Discharge Localisation on Power Transformers using Neural Networks combined with SectionalWinding Transfer Functions as Knowledge Base Conference International Symposium on Electrical Insulating Materials (ISEIM), Japan,Himeji, 2001. @conference{Akbari2001,
title = {Partial Discharge Localisation on Power Transformers using Neural Networks combined with SectionalWinding Transfer Functions as Knowledge Base},
author = {P.Werle, A. Akbari, H. Borsi, E. Gockenbach},
year = {2001},
date = {2001-01-01},
booktitle = {International Symposium on Electrical Insulating Materials (ISEIM)},
address = {Japan,Himeji},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|