Separation of sources in radiofrequency measurements of partial discharges using time–power ratio maps

Robles, G.; Martínez-Tarifa, Juan Manuel; Ardila-Rey, Jorge Alfredo

doi:10.1016/j.isatra.2015.04.006

Cited by 45 publications

(31 citation statements)

References 16 publications

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“…Traditionally, the noise that appears due to the inductive or capacitive coupling of the transient phenomena can be easily measured by capacitive/resistive voltage dividers, high-frequency current transformers (HFCT), inductive loop sensors (ILS) and Rogowski coils (RC) [24]. For the case of EMN, which is the type of noise addressed in this paper, the measurement can be done easily, through antennas or UHF sensors [25]. However, it is necessary to establish in advance the nature of the signal under study according to its temporal and frequency characteristics, to select the most appropriate antenna at the time of the measurement.…”

Section: Electrical Noisementioning

confidence: 99%

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Electromagnetic Burst Measurement System Based on Low Cost UHF Dipole Antenna

et al. 2017

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Non-linear high-power devices produce electromagnetic noise (EMN) sources of great intensity that can disrupt and damage the surrounding electrical equipment and devices. This radiative phenomenon is very common at facilities where pulsed power generators are required, particularly those that are needed to produce dense transient plasma experiments. These conditions are found at the Chilean Nuclear Energy Commission (CCHEN), due to the presence of pulsed power generators that switch large currents (kA-MA) in short times (10-100 ns). In order to characterize and establish conditions to mitigate the effects of the EMN on nearby devices, a measurement system based on an ultra-high frequency (UHF) dipole antenna was developed. We evaluated the system measuring the EMN emanated from a plasma focus device, the PF-400J. Measurements at the place indicated broadband and intense electric fields that can couple to nearby cables and equipment (10-300 MHz bandwidth, up to 350 V/MHz spectral intensity, 100 V coupled voltage). Based on these measurements a compact and simple protection system was designed, built and tested, capable of effectively mitigating the high levels of EMN. The proper EMN impact mitigation indicates the correct operation of the suggested system. The developed system can be of interest to the energy community by facilitating EMN measurement produced by arc discharges.

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Section: Electrical Noisementioning

confidence: 99%

“…However, it is necessary to establish in advance the nature of the signal under study according to its temporal and frequency characteristics, to select the most appropriate antenna at the time of the measurement. In this sense, the EMN can be classified into several categories [25]:…”

Section: Electrical Noisementioning

confidence: 99%

Electromagnetic Burst Measurement System Based on Low Cost UHF Dipole Antenna

et al. 2017

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“…Possible electromagnetic interference within the sensor measurement bandwidth ranges from FM radio, digital audio broadcasting (DAB), corona discharges, and fluorescent lamp ignition (Albarracín et al, 2015). Since FM and DAB are removed via the front end RF filtering these sources were not an issue in either test.…”

Section: Resultsmentioning

confidence: 99%

Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment

Upton

Saeed

Khan

et al. 2017

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

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This version is available at https://strathprints.strath.ac.uk/63466/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract Monitoring of partial discharge (PD) activity within high-voltage electrical environments is increasingly used for the assessment of insulation condition. Traditional measurement techniques employ technologies that either require off-line installation or have high power consumption and are hence costly. A wireless sensor network is proposed that utilizes only received signal strength to locate areas of PD activity within a high-voltage electricity substation. The network comprises low-power and low-cost radiometric sensor nodes which receive the radiation propagated from a source of PD. Results are reported from several empirical tests performed within a large indoor environment and a substation environment using a network of nine sensor nodes. A portable PD source emulator was placed at multiple locations within the network. Signal strength measured by the nodes is reported via WirelessHART to a data collection hub where it is processed using a location algorithm. The results obtained place the measured location within 2 m of the actual source location.

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“…This approach has come up with different techniques to separate and recognize PD sources. Ranging from [5][6][7][8][9][10] all these techniques also deal with the need of detecting and cancelling external signals (noise) coupled to the measuring circuit. In onfield testing, noise, disturbances and interferences can give rise to complex PRPD patterns or clusters, leading to misleading interpretations.…”

Section: Introductionmentioning

confidence: 99%

Effect of acquisition parameters on equivalent time and equivalent bandwidth algorithms for partial discharge clustering

Mor

Heredia

Muñoz

2017

International Journal of Electrical Power & Energy Systems

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a b s t r a c tThe acquisition parameters of an unconventional Partial Discharge (PD) measuring system affect the way the PD pulses are recorded and in turn, the results of the data processing. The noise based on the oscilloscope's vertical resolution is a feature of the sampled signal that is always present when a digital acquisition system is used. In PD unconventional systems, several parameters such as the sampling frequency Fs, the acquisition time T, the number of samples N and the vertical resolution VR of the digitizer result in a wide oscilloscope-based noise variation, that could be quantified by the signal to noise ratio (snr).The classification map is a tool that came available with the development of unconventional systems, that due to their wide bandwidth are able to resolve PD pulses in time and apply clustering techniques for PD source separation. The equivalent time T eq and equivalent bandwidth W eq , used to plot the classification map, attempts to extract features of the PD pulses to form clusters so that classification of sources can be achieved. The classification map is based on the ability of separating PD sources by resorting to the parameters T eq and W eq , that are believed to show significant differences for distinct PD sources, while they are clearly consistent for the same source.This paper conducts a set of theoretical analysis and laboratory measurements to evaluate the influence of the oscilloscope-based noise on the results of T eq and W eq . The results proved that the classification map is heavily influenced by the signal to noise ratio.

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Separation of sources in radiofrequency measurements of partial discharges using time–power ratio maps

Cited by 45 publications

References 16 publications

Electromagnetic Burst Measurement System Based on Low Cost UHF Dipole Antenna

Electromagnetic Burst Measurement System Based on Low Cost UHF Dipole Antenna

Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment

Effect of acquisition parameters on equivalent time and equivalent bandwidth algorithms for partial discharge clustering

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