Practical experiences of on-line partial discharge measurements on a variety of medium-voltage electrical equipment

Kane, C.; Lease, B.; Golubev, A.

doi:10.1109/28.806033

Cited by 15 publications

(8 citation statements)

References 2 publications

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“…On-line/continuous PD measurements has been considered in many condition monitoring applications, e.g., generators, transformers, conductors, rotating machines, switchgears, and bushings [21][22][23][24][25]. It has many advantages as compared to traditional condition monitoring systems.…”

Section: Discussionmentioning

confidence: 99%

Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks

Hashmi

Lehtonen

Nordman³

et al. 2012

International Journal of Electrical Power & Energy Systems

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Section: Discussionmentioning

confidence: 99%

Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks

Hashmi

Lehtonen

Nordman³

et al. 2012

International Journal of Electrical Power & Energy Systems

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“…With increased availability of low cost computational resources, analytical methods have been developed over the past few decades and implemented for online monitoring and decision making [6][7][8][9][10]. These methods include statistical operators of phase resolved data [11][12], pulse shape analysis [13][14][15], pulse sequence analysis [16], frequency spectrum and Wavelet analysis [17][18].…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization feature selection for the classification of conducting particles in transformer oil

Sharkawy

Ibrahim

Salama

et al. 2011

IEEE Trans. Dielect. Electr. Insul.

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The determination of particle type and dimensions in transformer oil is accomplished by using a Particle Swarm Optimization (PSO) technique in terms of the features extracted from the measured partial discharge (PD) pulse patterns. PSO selection of effective features is shown to be successful with intelligent classification for both electrical and acoustically measured data. Classification results of individual measurements were also reliable and far surpassed the efficiency of classification results obtained using the classifier solely for the same dimension of input features. The approach in this paper provides a solid basis for a data mining technique that can be used for the interpretation of both time and phase resolved raw PD patterns by searching a wide range of statistical attributes.

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“…On-line PD measurements have been carried out in many condition monitoring applications, such as transformers, cables, rotating machines, and gas-insulated switchgear (GIS) systems [4][5][6][7][8]. On-line PD monitoring has a number of important advantages.…”

Section: Introductionmentioning

confidence: 99%

Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks

Hashmi¹,

Lehtonen²,

Nordman³

2010

IEEE Trans. Dielect. Electr. Insul.

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The falling trees on covered-conductor (CC) overhead distribution lines produce partial discharges (PDs). The measurements have been taken in the laboratory and PD signal characteristics under various circumstances have been described. In this paper, an on-line single-phase PD monitoring system using Rogowski coil is simulated in EMTP-ATP. The simulation results are compared with those obtained from the laboratory measurements. The proposed model can be used to estimate the length of the practical CC lines at which PDs due to falling trees can be detected and localized; thus, deciding the number and positioning of the sensors over a particular length of the CC lines. The different noise sources have been described that cause interference with low level PD signals, which is a major challenge for on-line/on-site condition monitoring. The design aspects of the wireless sensor for this specific application are also discussed. Automatic detection of falling trees will reduce visual inspection work after storms and it will improve reliability and safety of the CC distribution system.

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Practical experiences of on-line partial discharge measurements on a variety of medium-voltage electrical equipment

Cited by 15 publications

References 2 publications

Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks

Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks

Particle swarm optimization feature selection for the classification of conducting particles in transformer oil

Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks

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