Relevant bibliographies by topics / Partial discharge (PD)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Partial discharge (PD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Partial discharge (PD)"

1

Kozák, Ondřej, and Josef Pihera. "Partial Discharge Analysis and Simulation Using the Consecutive Pulses Correlation Method." Energies 14, no. 9 (April 29, 2021): 2567. http://dx.doi.org/10.3390/en14092567.

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The behaviour of partial discharge as consequences of an alternating current (AC) is already well defined. AC partial discharges have completely different behaviour, background physics and parameters than partial discharges (PD) under direct current (DC) stress. This paper focuses on the most used and promising evaluation method of the PD DC stress—pulse sequence analysis (PSA). The first step is understanding and verifying the mechanisms and principles of this method. It is provided by well-known fundamentals of AC PD and by comparison with the other diagnostic and fault-locating methods such as phase-resolved partial discharge (PRPD) and pulse diagrams. The paper shows the PSA simulations and PD analyses performed at AC and partly at DC test conditions on typical PD test arrangements such as corona, surface and internal discharges. It is shown that the simulations performed, compared and validated with data obtained from measurements on different PD arrangements are a good match. This fact opens the way for the PD source recognition in DC, especially the time-resolved pulse sequence analysis described in detail in the paper.
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2

Steiner, J. P. "Partial discharge. IV. Commercial PD testing." IEEE Electrical Insulation Magazine 7, no. 1 (January 1991): 20–33. http://dx.doi.org/10.1109/57.64967.

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Florkowski, Marek. "Influence of Insulating Material Properties on Partial Discharges at DC Voltage." Energies 13, no. 17 (August 19, 2020): 4305. http://dx.doi.org/10.3390/en13174305.

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Understanding a partial discharge mechanism at direct current (DC) is an actual research topic that requires both modeling, simulations and measurements. This paper describes an influence of insulating material properties on partial discharges at DC voltage. Modifications of the traditional model reflecting the conditions of partial discharges (PD) inception and post discharge processes at DC voltage have been proposed. The aim was to show the partial discharge mechanisms and draw attention to the role of parameters of insulation materials adjacent to the cavity at DC voltage. The investigations were performed on two kinds of dielectric material used in power cables. Various combinations of specimens were designed to reveal the effect of the material resistivity on the PD activity. Key observations referred to the impact of the void adjacent material resistance on the partial discharge inception voltage threshold at DC voltage. The modified PD model was applied to analyze both inception and post discharge recovery stage. The role of dielectric properties of material adjacent to the void was investigated, highlighting its impact during static inception stage and in charging stage. Despite many simplifications introduced in the model, measurement results have confirmed the role of the dielectric material surrounding the void on partial discharge dynamics. The average time interval between PD pulses revealed a systematic relationship with respect to the applied voltage and specimen resistivity. This value can be considered in the future research for diagnostic indicator at DC voltage.
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Polyakov, D. A., N. A. Tereshchenko, and K. I. Nikitin. "Research of partial discharge characteristics features in bushings." Omsk Scientific Bulletin, no. 180 (2021): 26–32. http://dx.doi.org/10.25206/1813-8225-2021-180-26-32.

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The paper is devoted to partial discharge measurement and analysis in switchgear bushings. PD bushing structure analysis is described to assess possible defect sources in bushings. An experimental 10 kV bushing sample with the natural defect is obtained from the bushings’ manufacturer. It is tested using the PD measurement technique. Test results showed significant PD intensity at voltages from 12 kV and higher. We have an assumption that a part of registered discharges occurred in the air close to the high voltage electrode sharp edges. To check this assumption we grind them off and repeated the test. The second test does not show considerable PD characteristics change. Therefore, we assume that the bushing sample has an inner defect because the bushing’s surface is not contaminated to generate surficial discharges. The bushing is researched by a destroying method for defect localization. However, inside the bushing, possible defect locations are not found. It might be connected with the fact that the defect could not be found visually at the test time or the defect is located in the gasket between the high voltage electrode and insulator’s body. Besides, there are determined features of phase-resolved partial discharge patterns in switchgear bushings.
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W. Ren, L., M. S. Abd Rahman, and A. Mohd Ariffin. "Classification of Partial Discharge Sources using Statistical Approach." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 3 (June 1, 2017): 537. http://dx.doi.org/10.11591/ijeecs.v6.i3.pp537-543.

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<p>In high-voltage (HV) power equipment, degradation of insulation has been main concern for protection of equipment. This is due to occurrence of partial discharges (PD) activity within HV insulating systems which can be initiated from different types of local internal or external defects. Thus, partial discharge (PD) identification and classification are important for diagnostic insulation systems problems in order to ensure maintenance process can be carried out effectively and hence improve reliability and durable operation of HV equipment. In this work, the relation of the observable statistical characteristics from PD data with the characteristic of the defect is an important factor to determine the defect inside insulation system. Ultimately, the statistical parameters obtained from PD data can be used to classify different PD sources occur inside HV insulation system. Thus, the objective of this paper is to produce a unique pattern according to discharge source using statistical method. Several statistical parameters such as mean, variance, standard deviation, skewness and kurtosis have been used and analysed.</p>
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Liu, Bin, Jing De An, Wei Dong Zhang, and You Lin Xu. "A Design of Multi-Band UHF Sensor for Partial Discharge Detection." Applied Mechanics and Materials 394 (September 2013): 435–40. http://dx.doi.org/10.4028/www.scientific.net/amm.394.435.

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The selection and design of the sensor is one of the key technologies for UHF PD detection. The UHF sensors popular used in PD detection and location in substation are partial discharge UHF sensor are usually ultra wideband antenna in the frequency range of 200 MHz to 1.5 GHz, which contains interference from communication signals. Accordingly, in order to improve the detection sensitivity and the signal-to-noise ratio, a kind of multi-band UHF narrowband sensor is proposed and designed in accordance with the principles of the loop antenna for PD detection. The proposed frequency resonant bands are set in the ranges of 480MHz-520MHz, 800MHz-850MHz and 1.1GHz-1.2GHz. The design based on simulation is finished and the performances of the prototype sensor are researched by parametric test and PD detection of three typical discharges: corona discharge, surface discharge and metallic particles discharge generated by PD mode. Results show that the selection of band for the UHF sensor is reasonable, and the sensor is with high sensitivity.
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Adam, Benjamin, and Stefan Tenbohlen. "Classification of Superimposed Partial Discharge Patterns." Energies 14, no. 8 (April 12, 2021): 2144. http://dx.doi.org/10.3390/en14082144.

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Phase resolved partial discharge patterns (PRPD) are routinely used to assess the condition of power transformers. In the past, classification systems have been developed in order to automate the fault identification task. Most of those systems work with the assumption that only one source is active. In reality, however, multiple PD sources can be active at the same time. Hence, PRPD patterns can overlap and cannot be separated easily, e.g., by visual inspection. Multiple PD sources in a single PRPD represent a multi-label classification problem. We present a system based on long short-term memory (LSTM) neural networks to resolve this task. The system is generally able to classify multiple overlapping PRPD by while only being trained by single class PD sources. The system achieves a single class accuracy of 99% and a mean multi-label accuracy of 43% for an imbalanced dataset. This method can be used with overlapping PRPD patterns to identify the main PD source and, depending on the data, also classify the second source. The method works with conventional electrical measuring devices. Within a detailed discussion of the presented approach, both its benefits but also its problems regarding different repetition rates of different PD sources are being evaluated.
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Khamlichi, Abderrahim, Fernando Garnacho, and Pascual Simón. "New Synthetic Partial Discharge Calibrator for Qualification of Partial Discharge Analyzers for Insulation Diagnosis of HVDC and HVAC Grids." Sensors 23, no. 13 (June 27, 2023): 5955. http://dx.doi.org/10.3390/s23135955.

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A synthetic partial discharge (PD) calibrator has been developed to qualify PD analyzers used for insulation diagnosis of HVAC and HVDC grids including cable systems, AIS, GIS, GIL, power transformers, and HVDC converters. PD analyzers that use high-frequency current transformers (HFCT) can be qualified by means of the metrological and diagnosis tests arranged in this calibrator. This synthetic PD calibrator can reproduce PD pulse trains of the same sequence as actual representative defects (cavity, surface, floating potential, corona, SF6 protrusion, SF6 jumping particles, bubbles in oil, etc.) acquired in HV equipment in service or by means of measurements made in HV laboratory test cells. The diagnostic capabilities and PD measurement errors of the PD analyzers using HFCT sensors can be determined. A new time parameter, “PD Time”, associated with any arbitrary PD current pulse i(t) is introduced for calibration purposes. It is defined as the equivalent width of a rectangular PD pulse with the same charge value and amplitude as the actual PD current pulse. The synthetic PD calibrator consists of a pulse generator that operates on a current loop matched to 50 Ω impedance to avoid unwanted reflections. The injected current is measured by a reference measurement system built into the PD calibrator that uses two HFCT sensors to ensure that the current signal is the same at the input and output of the calibration cage where the HFCT of the PD analyzer is being calibrated. Signal reconstruction of the HFCT output signal to achieve the input signal is achieved by applying state variable theory using the transfer impedance of the HFCT sensor in the frequency domain.
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Komarov, I. V., D. A. Polyakov, and K. I. Nikitin. "Partial discharges characteristics study in XLPE cable insulation with multiple defects." Omsk Scientific Bulletin, no. 180 (2021): 33–40. http://dx.doi.org/10.25206/1813-8225-2021-180-33-40.

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The paper simulates the electric field intensity picture in the cable with one and several defects. Modeling has shown that the presence of several closely spaced defects does not lead to an increase in the electric field intensity in comparison with one defect. On the basis of experimental studies, an analysis of defects' number influence on various parameters of partial discharges (PD) is performed. Artificial defects are created in the area of the XLPE-insulated cable termination. The following parameters of PD are measured: the magnitude of the apparent charge, the power (intensity) of partial discharges, the phase-resolved partial discharge (PRPD) patterns, the shape of PD signals. The analysis shows an increase in the number of defects does not affect the characteristics of partial discharges, despite the fact the defects are located in different sections of the cable with distributed parameters. Thus, it can be difficult to quantify defects during cable partial discharge measurements.
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Kaziz, Sinda, Mohamed Hadj Said, Antonino Imburgia, Bilel Maamer, Denis Flandre, Pietro Romano, and Fares Tounsi. "Radiometric Partial Discharge Detection: A Review." Energies 16, no. 4 (February 16, 2023): 1978. http://dx.doi.org/10.3390/en16041978.

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One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.
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Dissertations / Theses on the topic "Partial discharge (PD)"

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Hayakawa, N., Y. Sugimori, and H. Okubo. "Partial discharge current pulse waveform analysis (PD-CPWA) based on PD mechanisms in solid and gas media." IEEE, 2005. http://hdl.handle.net/2237/6827.

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Nikjoo, Roya. "Dielectric Response and Partial Discharge Diagnostics of Insulation Systems by Utilizing High Voltage Impulses." Doctoral thesis, KTH, Elektroteknisk teori och konstruktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187632.

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In this thesis, power system transients are considered as an opportunity for development of on-line diagnostics of power components and specifically the insulation systems of power transformers and bushings. A new technique for on-line dielectric response measurement of power transformer bushings is proposed which utilizes natural transients in the power system, such as lightning and switching surges, as stimuli. Laboratory investigations are done on implementation of the proposed technique. Measurement considerations, data acquisition and processing involved in achievement of reasonable accuracy in the Dielectric Response (DR) are presented. Capability of the technique in tracking of the degradation signatures such as moisture content in the insulation has been evaluated and it has shown a good level of accuracy by being compared to the Frequency Domain Spectroscopy (FDS).  The proposed technique is tested on the service-aged 150 kV bushings and feasibility of the technique for monitoring of dielectric properties of power transformer bushings has been assessed; the results are promising for the technique to be used in the real application.  Partial Discharges (PD) behavior under transients has been also studied for different materials in this project. PD behavior of different defects, at different insulation condition, responding to the overvoltage transients in form of superimposed impulses on ac voltages was investigated and it was perceived how their distinctive response and the interpretation of  that, can be useful for their identification. Besides the conventional materials, surface ac PD properties of modified paper with silica and zinc oxide nanoparticles under the superimposed impulses have been assessed in this project. Proper type and optimum concentration level of nanoparticles in the paper are the factors that lead to the improvement of PD behavior in the modified paper under overvoltage transients.

QC 20160525

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Okubo, Hitoshi, Fuminobu Shimizu, and Naoki Hayakawa. "Estimation of partial discharge inception voltage of magnet wires under inverter surge voltage by volume-time theory." IEEE, 2012. http://hdl.handle.net/2237/20735.

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Ghaffarian, Niasar Mohamad. "Partial Discharge Signatures of Defects in Insulation Systems Consisting of Oil and Oil-impregnated Paper." Licentiate thesis, KTH, Elektroteknisk teori och konstruktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105785.

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Partial discharge measurement is a common method for monitoring and diagnostics of power transformers, and can detect insulation malfunctions before they lead to failure. Different parameters extracted from the measured PD activity can be correlated to the PD source, and as a result it is possible to identify the PD source by analyzing the PD activity. In this thesis, possible defects that could cause harmful PDs in transformers were investigated. These defects include corona in oil, a void in pressboard, a metal object at floating potential, surface discharge in oil, a free bubble in oil and small free metallic particles in oil. The characteristics of disturbing discharge sources were analyzed, like corona in air, surface discharge in air, and discharge from an unearthed object near to the test setup. The PD activity was recorded both in the time domain and phase domain, and possible characteristics for each PD pattern and waveform were extracted in order to find the best characteristic for the purpose of classification. The results show that in the phase domain parameters such as phase of occurrence, repetition rate and shape of PD Pattern are most suitable for classification while magnitude of discharge can only be useful in specific cases. The results show that the PD waveforms correlated to different defects are similar; however the time domain data include all the information from the phase domain, and also has the power to identify the number of PD sources.  The PD dependency on temperature was investigated on the four test objects including surface discharges in oil, corona in oil, bubble discharges in oil, and metal object at floating potential. The effect of humidity was investigated for corona in oil. The results show that at higher temperature the corona activity in oil and PD activity due to a metal object at floating potential in oil decrease. However, for a bubble in oil and for surface discharge in oil the PD activity increases with the increase of the oil temperature. It was shown that the amount of moisture in oil has a strong impact on number of corona pulses in oil. The last part focused on ageing of oil-impregnated paper due to PD activity. Investigation was made of the behavior of PD activity and its corresponding parameters such as PD repetition rate and magnitude, from inception until complete puncture breakdown. The results show that both the number and magnitude of PD increase over time until they reach to a peak value. After this point over time both curves decrease slowly, and eventually full breakdown occurs. The effect of thermal ageing of oil impregnated paper on time to breakdown and PD parameters was investigated. The results show that thermal aging of oil-impregnated paper increases the number and magnitude of PD. Dielectric spectroscopy was performed on the samples before and after PD ageing and the result was used in order to explain the behavior of PD over time.

QC 20121129

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Tsai, Shu-Jen Steven. "Power Transformer Partial Discharge (PD) Acoustic Signal Detection using Fiber Sensors and Wavelet Analysis, Modeling, and Simulation." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35983.

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In this work, we first analyze the behavior of the acoustic wave from the theoretical point of view using a simplified 1-dimensional model. The model was developed based on the conservation of mass, the conservation of momentum, and the state equation; in addition, the fluid medium obeys Stokes assumption and it is homogeneous, adiabatic and isentropic. Experiment and simulation results show consistency to theoretical calculation. The second part of this thesis focuses on the PD signal analysis from an on-site PD measurement of the in-house design fiber optic sensors (by Virginia Tech, Center for Photonics Technology). Several commercial piezoelectric transducers (PZTs) were also used to compare the measurement results. The signal analysis employs the application of wavelet-based denoising technique to remove the noises, which mainly came from vibration, EMI, and light sources, embedded in the PD signal. The denoising technique includes the discrete wavelet transform (DWT) decomposition, thresh-holding of wavelet coefficients, and signal recovery by inverse discrete wavelet transform. Several approaches were compared to determine the optimal mother wavelet. The threshold limits are selected to remove the maximum Gaussian noises for each level of wavelet coefficients. The results indicate that this method could extract the PD spike from the noisy measurement effectively. The frequency of the PD pulse is also analyzed; it is shown that the frequencies lie in the range of 70 kHz to 250 kHz. In addition, with the assumed acoustic wave propagation delay between PD source and sensors, it was found that all PD activities occur in the first and third quadrant in reference to the applied sinusoidal transformer voltage.
Master of Science
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Lazarevich, Alison Kay. "Partial Discharge Detection and Localization in High Voltage Transformers Using an Optical Acoustic Sensor." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/32624.

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A partial discharge (PD) is the dissipation of energy caused by the buildup of localized electric field intensity. In high voltage devices such as transformers, this buildup of charge and its release can be symptomatic of problems associated with aging, such as floating components and insulation breakdown. This is why PD detection is used in power systems to monitor the state of health of high voltage transformers. If such problems are not detected and repaired, the strength and frequency of PDs increases and eventually leads to the catastrophic failure of the transformer, which can cause external equipment damage, fires and loss of revenue due to an unscheduled outage. Reliable online PD detection is a critical need for power companies to improve personnel safety and decrease the potential for loss of service. The PD phenomenon is manifested in a variety of physically observable signals including electric and acoustic pulses and is currently detected using a host of exterior measurement techniques. These techniques include electrical lead tapping and piezoelectric transducer (PZT) based acoustic detection. Many modern systems use a combination of these techniques because electrical detection is an older and proven technology and acoustic detection allows for the source to be located when several sensors are mounted to the exterior of the tank. However, if an acoustic sensor could be placed inside the tank, not only would acoustic detection be easier due to the increased signal amplitude and elimination of multipath interference, but positioning could also be performed with more accuracy in a shorter time. This thesis presents a fiber optic acoustic sensing system design that can be used to detect and locate PD sources within a high voltage transformer. The system is based on an optical acoustic (OA) sensor that is capable of surviving the harsh environment of the transformer interior while not compromising the transformerâ s functionality, which allows for online detection and positioning. This thesis presents the theoretical functionality and experimental validation of a band-limited OA sensor with a usable range of 100-300 kHz, which is consistent with the frequency content of an acoustic pulse caused by a PD event. It also presents a positioning system using the time difference of arrival (TDOA) of the acoustic pulse with respect to four sensors that is capable of reporting the three-dimensional position of a PD to within ±5cm on any axis.
Master of Science
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Hayakawa, Naoki, 直樹 早川, Hitoshi Okubo, and 仁. 大久保. "Feature article - Lifetime Characteristics of Nanocomposite Enameled Wire Under Surge Voltage Application." IEEE, 2008. http://hdl.handle.net/2237/11172.

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Rumi, Alberto. "Partial Discharge Inception Voltage in Converter-Fed Machines for the More Electric Aircraft." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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In this thesis the Partial Discharge Inception Voltage (PDIV) of Twisted Pairs (TP, representative models of the turn/turn insulation) is investigated, trying to unveil the effect of ambient conditions like pressure, temperature and humidity and the effect of wide bandgap (WBG) converters on it. This is the first step to find qualification methods for More Electric Aircraft actuators fed by WBG converters. A setup for PDIV tests at different pressure and temperature levels has been built. A suite of applications in MATLAB to perform acquisitions and automatic tests has been coded, it takes advantage of a photomultiplier tube for optical detection of the discharges. The optical detection in a dark environment has demonstrated to be as sensitive as a commercial PD detection instruments and free from the electrical noise of the converter. The humidity and temperature coupled effects have been investigated at ambient pressure, finding that an increase in relative humidity or temperature decreases the PDIV, but possible changes in the insulation permittivity and the confirmed presence of free charges on the surface of twisted pair renders difficult to model the phenomena. The effect of coupled temperature and pressure changes have been investigated, finding that PDIV highly decreases when the pressure is increased and that a Paschen-Like law doesn't model properly the phenomenon at very low pressures where a plateau forms instead of a minimum. Temperature increase and pressure decrease both act on the density of the air, lengthen the mean free path of the electron and reducing the electric field needed for the ionization. A SiC unipolar converter has been used to test the effect of the switching frequency on the PDIV, no impact has been found.
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Song, Lijun. "Detection and Position Location of Partial Discharges in Transformers Using Fiber Optic Sensors." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/35928.

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Power transformers are one of the most important components in the electrical energy network. Extending transformer life is very economically valuable due to power outage. Therefore the development of instruments to monitor the transformer condition is of great interest. Detection of partial discharges (PDs) in power transformers is an effective diagnostic because it may reveal and quantify an important aging factor and provide information on the condition of the transformer. However, partial discharge diagnostics are still not effectively used for online monitoring of transformers because of the complexity of PD measurements and difficulties of discriminating of PDs and other noise sources. This thesis presents a further study of detection and location of partial discharges in power transformers based on previous work conducted at the Center for Photonics Technology (CPT) at Virginia Tech. The detection and positioning system consists of multiple extrinsic Fabry-Parot interferometric (EFPI) fiber acoustic sensors which can survive the harsh environment of oil-filled transformers. This thesis work is focused on optimal arrangement of multiple sensors to monitor and locate PD activities in a power transformer. This includes the following aspects. First, the sensor design requirements are discussed in order to successfully detect and accurately position the PD sources. In the following sections, Finite Element Method (FEM) is used to model the EFPI sensor fabricated at CPT. Experiments were conducted to measure the angular dependence of the frequency response of the sensor. It is shown that within the range of ±45º incident angles, the sensitivity varies by 3-5dB. Finally, the thesis demonstrates a PD positioning experiment in a 500 gallon water tank (R à H = 74" à 30" cylinder) using a hyperbolic positioning algorithm and time difference of arrival (TDOA). Finally we demonstrated that 100% of the positioning data is bounded by a 22.7à 4.1à 5.3 mm3 cube, with a sensing range of 810 mm using the leading edge method with FIR filtering.
Master of Science
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Kumar, Ameet. "Critical points in the More Electric Aircraft (MEA) converter-machine chain." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23815/.

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This research aims to analyze the critical points of the inverter-to-machine chain used in the actuation system of MEA. To analyze the critical points, it is necessary to investigate the Partial Discharge Inception Voltage (PDIV) of the printed circuit board (PCB, representative models of the high voltage part terminal part of the inverter) by considering the effects of aerospace conditions like pressure, temperature, and humidity. Also, the endurance tests of twisted pairs (TPs, representative models of the turn/turn insulation) at aerospace conditions is investigated. This is necessary to assess the life of the machine when it is stressed by repetitive square wave/sinusoidal AC voltages. These experiments help to find the proper way to design and qualify MEA actuators. In this research, the effect of AC voltages, space charges at DC, temperature, pressure, and converter waveforms have been analyzed on different PCB models. Results show that an increased temperature decreases the PDIV and a reduction of PDIV is observed also due to a reduction of pressure. It is also analyzed that space charges play an important role in the measurement of PDIV at DC. Finally, the effect of converter waveforms supplied by SiC is analyzed, where it is observed that there is an 8% increase of PDIV as compared to the PDIV in AC. After these entire tests, it is concluded that the HV terminal part is not critical in the sense of PD occurrence. After the inverter part, the behavior of turn/turn insulation when it is continuously stressed by repetitive square wave/ AC 50 kHz voltages above PDIV has been analyzed. The results obtained from both the supplies are compared with each other to understand the effect of supply type and frequency on the endurance, finally, the effect of humidity on the endurance of the twisted pairs has been analyzed. It is observed after all these endurance tests that the corona-resistant wire cannot endure PD for a long time in aerospace conditions.
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Book chapters on the topic "Partial discharge (PD)"

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Passow, D., M. Beltle, S. Tenbohlen, J. Hohloch, and R. Grund. "Online and On-site Partial Discharge Measurement of Long Length Power Cables by Using Joints with Integrated PD Sensors." In Lecture Notes in Electrical Engineering, 219–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31676-1_21.

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Jebamony, David, Manjunath Ramesh, Bastian Wölke, and Pascal Thyssen. "Evaluation and Performance Benchmarking of Partial Discharge Measurement Sensors Technologies Based on Non-conventional PD Measurement System for Medium Voltage GIS Applications." In Lecture Notes in Electrical Engineering, 887–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31676-1_83.

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"Online partial discharge (PD) electrical monitoring." In Condition Monitoring of Rotating Electrical Machines, 239–53. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbpo145e_ch10.

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Vacio, Rubén Jaramillo, Carlos Alberto Ochoa Ortiz Zezzatti, and Armando Rios. "Data Mining Applications in the Electrical Industry." In Data Mining, 1607–23. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch084.

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This chapter describes the experimental study partial discharges (PD) activities with artificial intelligent tools. The results present different patterns using a hybrid system with Self Organizing Maps (SOM) and Hierarchical clustering, this combination constitutes an excellent tool for exploration analysis of massive data such a partial discharge on underground power cables and electrical equipment. The SOM has been used for nonlinear feature extraction and the hierarchical clustering to visualization. The hybrid system is trained with different dataset using univariate phase-resolved distributions. The results show that the clustering method is fast, robust, and visually efficient.
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Vacio, Rubén Jaramillo, Carlos Alberto Ochoa Ortiz Zezzatti, and Armando Rios. "Data Mining Applications in the Electrical Industry." In Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, 380–402. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0297-7.ch015.

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This chapter describes the experimental study partial discharges (PD) activities with artificial intelligent tools. The results present different patterns using a hybrid system with Self Organizing Maps (SOM) and Hierarchical clustering, this combination constitutes an excellent tool for exploration analysis of massive data such a partial discharge on underground power cables and electrical equipment. The SOM has been used for nonlinear feature extraction and the hierarchical clustering to visualization. The hybrid system is trained with different dataset using univariate phase-resolved distributions. The results show that the clustering method is fast, robust, and visually efficient.
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"Partial Discharges Measurements for Power Cable Insulation System." In Advances in Computer and Electrical Engineering, 334–50. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-6509-5.ch014.

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On-site PD measurements on high voltage cables have to concentrate on the cable accessories because there is a remaining risk for assembling faults on site. PD sensors with an appropriate coupling behavior to accessory-internal PD give sensitivities of a few pC or even better. Unfortunately, two main reasons prevent the general use of PD sensors in cable accessories. First of all, the costs for PD sensors have to be balanced with the costs of the accessories, importance of the cable link, consequential costs for outage etc. This is the reason why PD sensors were mainly used EHV cable systems. The second reason is limited accessibility: the PD sensor cable at the accessory has to be connected to a PD detection unit. Accessibility is much more difficult for direct buried cable systems than for cable terminations and tunnel-laid cable systems: the senor cable must pass the ground and the end up in a box on the surface to provide access. This solution causes additional costs and new problems like sealing the sensor cable against humidity, capability to withstand sheath testing etc. By looking for alternative access to PD signals from cable joints of long cable systems, a very simple solution proved suitable: detecting PD at cross-bonding links. To investigate the high frequency propagation of PD pulses in cross-bonding links, computer simulations and laboratory measurements were done.
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7

"Electrical and Water Treeing of Cable Insulation." In Advances in Computer and Electrical Engineering, 318–33. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-6509-5.ch013.

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Partial discharges (PD) have been recognized as a harmful ageing process for electrical insulation at the last century when the high voltage technology was introduced for the generation and transmission of electrical power. Since that time numerous papers and books appeared, dealing with the physics and recognition of partial discharges. First industrial PD tests of HV apparatus were introduced at the beginning of 1940. The method applied was based on NEMA 107, which specifies the measurement of ratio influence voltages (RIV) expressed in terms of µV. One disadvantage of this method is, however, that the RIV level is weighted according to the acoustical noise impression of the human ear, which is not correlated to the PD activity. Therefore, the IEC Technical Committee No.42 decided the issue of a separate standard on electrical PD measurement associated with the PD quantity apparent charge, which is expressed in terms of pC.
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Conference papers on the topic "Partial discharge (PD)"

1

Gockenbach, E. "Partial discharge (PD) measuring techniques." In 15th IET International School on High Voltage Engineering and Testing 2008. IEE, 2008. http://dx.doi.org/10.1049/ic:20080546.

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Fruth, B. "Interpretation of digital partial discharge measurements." In IEE Colloquium on PD Display Systems and Analytical Software. IEE, 1996. http://dx.doi.org/10.1049/ic:19960232.

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3

Dodd, S. J. "Evidence for deterministic chaos in partial discharge rate measurements." In IEE Colloquium on PD Display Systems and Analytical Software. IEE, 1996. http://dx.doi.org/10.1049/ic:19960234.

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4

Hilder, D. A. "The implementation and application of practical partial discharge data capture systems." In IEE Colloquium on PD Display Systems and Analytical Software. IEE, 1996. http://dx.doi.org/10.1049/ic:19960235.

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Kouadria, D. "A computer-aided system for the interpretation of partial discharge for the unskilled operator." In IEE Colloquium on PD Display Systems and Analytical Software. IEE, 1996. http://dx.doi.org/10.1049/ic:19960231.

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Wilson, A. "Twenty five years of experience using digitally enhanced processing for on site partial discharge measurements." In IEE Colloquium on PD Display Systems and Analytical Software. IEE, 1996. http://dx.doi.org/10.1049/ic:19960230.

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Nanao, Kenji, Yoshinobu Murakami, and Masayuki Nagao. "Analysis of Internal Partial Discharge Based on PD Current Waveform." In 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2008. http://dx.doi.org/10.1109/ceidp.2008.4772934.

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Ma, Hui, Junhyuck Seo, Tapan Saha, and Jeffery Chan. "Joint time-frequency analysis for partial discharge (PD) signal extraction." In 2018 12th International Conference on the Properties and Applications of Dielectric Materials (ICPADM). IEEE, 2018. http://dx.doi.org/10.1109/icpadm.2018.8401084.

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Gowda, Devendra, and Anandraj. "Modeling of partial discharge (PD) for solid insulation with void and building a hardware setup to measure partial discharge." In 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE). IEEE, 2016. http://dx.doi.org/10.1109/pestse.2016.7516414.

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Suwanasri, Thanapong, Phanupong Fuangpian, Nattapon Panmala, Tanachai Somsak, Cattareeya Suwanasri, Shan Rungsivattagapong, Nattawut Atiwet, and Papatsporn Poonpoch. "Partial Discharge Investigation on Power Cable Termination Using PD Acoustic Detection." In 2020 International Conference on Power, Energy and Innovations (ICPEI). IEEE, 2020. http://dx.doi.org/10.1109/icpei49860.2020.9431400.

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