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Partial Discharge (PD) Measuring Techniques
15th IET International School on High Voltage Engineering and Testing 2008, 2008The physical background of partial discharges will be explained on simple models. The requirements on the complete partial discharge measuring systems including the calibration and evaluation of the measuring results will be discussed and examples of partial discharge measurements on transformers in the laboratory and on site will be presented. Finally
E. Gockenbach
semanticscholar +2 more sources
Joint time-frequency analysis for partial discharge (PD) signal extraction
2018 12th International Conference on the Properties and Applications of Dielectric Materials (ICPADM), 2018The joint time-frequency analysis has been recently applied to PD signal extraction. Its advantage is widely considered to be the capability of analyzing signals in time and frequency domains at multiple scales. This paper presents a study on recent advances in the application of joint time-frequency analysis techniques to extract PD signal from noise.
Hui Ma +3 more
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PDTools: A toolbox of partial discharge (PD) signal analysis for transformer condition assessment
2017 IEEE Power & Energy Society General Meeting, 2017 Partial discharge (PD) measurement of power transformers provides a means for condition assessment of their insulation systems. To reach an informed assessment on the condition of a transformer's insulation system, it needs to appropriately analyze the measured PD signals. Though abundant methods have been proposed for PD signal analysis, it is still a
Ma, Hui +4 more
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Online partial discharge (PD) electrical monitoring
Condition Monitoring of Rotating Electrical Machines, 2020semanticscholar +2 more sources
IEEE Transactions on Industrial Informatics, 2023
The partial discharge (PD) classification for electric power equipment based on machine learning algorithms often leads to insufficient generalization ability and low recognition accuracy.
Guangya Zhu +5 more
semanticscholar +1 more source
The partial discharge (PD) classification for electric power equipment based on machine learning algorithms often leads to insufficient generalization ability and low recognition accuracy.
Guangya Zhu +5 more
semanticscholar +1 more source
A Denoising Method of Partial Discharge Signal Based on Improved SVD-VMD
IEEE transactions on dielectrics and electrical insulation, 2023A denoising method combined with singular value decomposition (SVD) and variational mode decomposition (VMD) is proposed to eliminate noise in on-site partial discharge (PD) signals from high-voltage electrical equipment.
Z. Lei, Feiyu Wang, Chuanyang Li
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Interpretation of wavelet analysis and its application in partial discharge detection [PDF]
IEEE Transactions on Dielectrics and Electrical Insulation, 2002 The objective of the paper is to discuss a tool which is proving extremely efficient in partial discharge measurement studies. Though the technique itself is not new, its application to partial discharge studies is.
Xiandong Ma, Chengke Zhou, I J Kemp
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