Search Results - "Cunha, Caio F. C."
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Virtual instrumentation for high voltage power capacitors assessment through capacitance monitoring and acoustic partial discharge detection
Published in 2016 IEEE Electrical Insulation Conference (EIC) (01-06-2016)“…This paper describes a virtual instrumentation system developed for the laboratory evaluation of high voltage power capacitor units in the end of life. The…”
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Conference Proceeding -
2
A new wavelet selection method for partial discharge denoising
Published in Electric power systems research (01-08-2015)“…•More effective methodologies to improve partial discharge signal denoising are provided.•A novel approach for determining the wavelet decomposition levels is…”
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Journal Article -
3
A new methodology for the evaluation of the influence of discrete spectral interference on partial discharge measurements in the field
Published in 2016 IEEE Electrical Insulation Conference (EIC) (01-06-2016)“…Partial discharge (PD) detection is the most effective way of determining the integrity of insulation systems in high voltage electric equipment. Besides its…”
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Conference Proceeding -
4
Identification of partial discharges immersed in noise in large hydro-generators based on improved wavelet selection methods
Published in Measurement : journal of the International Measurement Confederation (01-11-2015)“…•More effective methodologies to improve partial discharge signal denoising are provided.•A novel approach for determining the number of wavelet decomposition…”
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Journal Article -
5
Virtual instrumentation for Partial Discharge monitoring
Published in 2017 IEEE Electrical Insulation Conference (EIC) (01-06-2017)“…This paper describes a virtual instrumentation architecture to measure and monitor partial discharges (PD) in high voltage equipment. The system has been…”
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Conference Proceeding -
6
An Alternative Partial Discharge Monitoring System for High Voltage Equipment
Published in 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) (20-07-2022)“…Partial discharge monitoring systems are important tools for the predictive diagnosis of various high voltage equipment, being applied to evaluate the…”
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Conference Proceeding