Wavelet transform processing applied to partial discharge evaluation

E. C.T. Macedo, D. B. Araújo, E. G. Da Costa, R. C.S. Freire, W. T.A. Lopes, I. S.M. Torres, J. M.R. De Souza Neto, S. A. Bhatti, I. A. Glover

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

Partial Discharge (PD) is characterized by high frequency current pulses that occur in high voltage (HV) electrical equipments originated from gas ionization process when damaged insulation is submitted to high values of electric field [1]. PD monitoring is a useful method of assessing the aging degree of the insulation, manufacturing defects or chemical/mechanical damage. Many sources of noise (e.g. radio transmissions, commutator noise from rotating machines, power electronics switching circuits, corona discharge, etc.) can directly affect the PD estimation. Among the many mathematical techniques that can be applied to de-noise PD signals, the wavelet transform is one of the most powerful. It can simultaneously supply information about the pulse occurrence, time and pulse spectrum, and also de-noise in-field measured PD signals. In this paper is described the application of wavelet transform in the suppression of the main types of noise that can affect the observation and analysis of PD signals in high voltage apparatus. In addition, is presented a study that indicates the appropriated mother-wavelet for this application based on the cross-correlation factor.

Original languageEnglish
Article number012054
Pages (from-to)1-16
Number of pages16
JournalJournal of Physics: Conference Series
Volume364
Issue number1
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event25th International Congress on Condition Monitoring and Diagnostic Engineering: Sustained Prosperity through Proactive Monitoring, Diagnosis and Management - University of Huddersfield, Huddersfield, United Kingdom
Duration: 18 Jun 201220 Jun 2012
Conference number: 25
http://compeng.hud.ac.uk/comadem2012/ (Link to Conference Website )

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wavelet analysis
evaluation
insulation
high voltages
pulses
radio transmission
gas ionization
switching circuits
electric corona
commutators
cross correlation
manufacturing
retarding
occurrences
damage
electric fields
defects
electronics

Cite this

Macedo, E. C. T., Araújo, D. B., Da Costa, E. G., Freire, R. C. S., Lopes, W. T. A., Torres, I. S. M., ... Glover, I. A. (2012). Wavelet transform processing applied to partial discharge evaluation. Journal of Physics: Conference Series, 364(1), 1-16. [012054]. https://doi.org/10.1088/1742-6596/364/1/012054
Macedo, E. C.T. ; Araújo, D. B. ; Da Costa, E. G. ; Freire, R. C.S. ; Lopes, W. T.A. ; Torres, I. S.M. ; De Souza Neto, J. M.R. ; Bhatti, S. A. ; Glover, I. A. / Wavelet transform processing applied to partial discharge evaluation. In: Journal of Physics: Conference Series. 2012 ; Vol. 364, No. 1. pp. 1-16.
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abstract = "Partial Discharge (PD) is characterized by high frequency current pulses that occur in high voltage (HV) electrical equipments originated from gas ionization process when damaged insulation is submitted to high values of electric field [1]. PD monitoring is a useful method of assessing the aging degree of the insulation, manufacturing defects or chemical/mechanical damage. Many sources of noise (e.g. radio transmissions, commutator noise from rotating machines, power electronics switching circuits, corona discharge, etc.) can directly affect the PD estimation. Among the many mathematical techniques that can be applied to de-noise PD signals, the wavelet transform is one of the most powerful. It can simultaneously supply information about the pulse occurrence, time and pulse spectrum, and also de-noise in-field measured PD signals. In this paper is described the application of wavelet transform in the suppression of the main types of noise that can affect the observation and analysis of PD signals in high voltage apparatus. In addition, is presented a study that indicates the appropriated mother-wavelet for this application based on the cross-correlation factor.",
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Macedo, ECT, Araújo, DB, Da Costa, EG, Freire, RCS, Lopes, WTA, Torres, ISM, De Souza Neto, JMR, Bhatti, SA & Glover, IA 2012, 'Wavelet transform processing applied to partial discharge evaluation', Journal of Physics: Conference Series, vol. 364, no. 1, 012054, pp. 1-16. https://doi.org/10.1088/1742-6596/364/1/012054

Wavelet transform processing applied to partial discharge evaluation. / Macedo, E. C.T.; Araújo, D. B.; Da Costa, E. G.; Freire, R. C.S.; Lopes, W. T.A.; Torres, I. S.M.; De Souza Neto, J. M.R.; Bhatti, S. A.; Glover, I. A.

In: Journal of Physics: Conference Series, Vol. 364, No. 1, 012054, 2012, p. 1-16.

Research output: Contribution to journalConference article

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T1 - Wavelet transform processing applied to partial discharge evaluation

AU - Macedo, E. C.T.

AU - Araújo, D. B.

AU - Da Costa, E. G.

AU - Freire, R. C.S.

AU - Lopes, W. T.A.

AU - Torres, I. S.M.

AU - De Souza Neto, J. M.R.

AU - Bhatti, S. A.

AU - Glover, I. A.

PY - 2012

Y1 - 2012

N2 - Partial Discharge (PD) is characterized by high frequency current pulses that occur in high voltage (HV) electrical equipments originated from gas ionization process when damaged insulation is submitted to high values of electric field [1]. PD monitoring is a useful method of assessing the aging degree of the insulation, manufacturing defects or chemical/mechanical damage. Many sources of noise (e.g. radio transmissions, commutator noise from rotating machines, power electronics switching circuits, corona discharge, etc.) can directly affect the PD estimation. Among the many mathematical techniques that can be applied to de-noise PD signals, the wavelet transform is one of the most powerful. It can simultaneously supply information about the pulse occurrence, time and pulse spectrum, and also de-noise in-field measured PD signals. In this paper is described the application of wavelet transform in the suppression of the main types of noise that can affect the observation and analysis of PD signals in high voltage apparatus. In addition, is presented a study that indicates the appropriated mother-wavelet for this application based on the cross-correlation factor.

AB - Partial Discharge (PD) is characterized by high frequency current pulses that occur in high voltage (HV) electrical equipments originated from gas ionization process when damaged insulation is submitted to high values of electric field [1]. PD monitoring is a useful method of assessing the aging degree of the insulation, manufacturing defects or chemical/mechanical damage. Many sources of noise (e.g. radio transmissions, commutator noise from rotating machines, power electronics switching circuits, corona discharge, etc.) can directly affect the PD estimation. Among the many mathematical techniques that can be applied to de-noise PD signals, the wavelet transform is one of the most powerful. It can simultaneously supply information about the pulse occurrence, time and pulse spectrum, and also de-noise in-field measured PD signals. In this paper is described the application of wavelet transform in the suppression of the main types of noise that can affect the observation and analysis of PD signals in high voltage apparatus. In addition, is presented a study that indicates the appropriated mother-wavelet for this application based on the cross-correlation factor.

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Macedo ECT, Araújo DB, Da Costa EG, Freire RCS, Lopes WTA, Torres ISM et al. Wavelet transform processing applied to partial discharge evaluation. Journal of Physics: Conference Series. 2012;364(1):1-16. 012054. https://doi.org/10.1088/1742-6596/364/1/012054