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    Wyświetlanie 1-7 z 7
    Tytuł:
    Influence of conductive particle contaminationon the insulation system of rotating electrical machines with direct oil cooling
    Autorzy:
    Yang, Liguo
    Pauli, Florian
    Zhang, Shimin
    Hambrecht, Fabian
    Hameyer, Kay
    Powiązania:
    https://bibliotekanauki.pl/articles/2135735.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    cooling
    insulation system
    particle contamination
    partial discharge
    surface resistance
    Opis:
    An integration of the electrical machine and the gearbox is attracting particular attention for the design of modern electric and hybrid drive trains, since it saves overall space and subsequently increases the power density. Another benefit of a high level of integration is that it enables a combined application of oils as both cooling fluid for the electrical machine and as lubrication fluid for the transmission system. In this way, the power density of the integrated drive train can be further increased. During the oil cycling, conductive contaminations may be introduced and subsequently have an influence on the function of the insulation system of the electrical machine. In the present work, the influences of the cooling oil and its conductive contaminations, conductive particles as well as their combination with humidity, on the electrical and dielectric properties of the insulation system are studied. The results show that by application of the cooling oil, the partial discharge inception voltage (PDIV) of the winding insulation increases significantly so that an electrical breakdown is prone to happen before a partial discharge (PD) occurs. With increasing particle contamination, the PDIV of the insulation system decreases significantly, while the capacitance increases. Besides, conductive particles and humidity decrease the surface resistance and surface breakdown voltage of the insulation papers significantly. The results indicate that the conductive particle contaminations can play an important role for the electrical degradation of the insulation system.
    Źródło:
    Archives of Electrical Engineering; 2022, 71, 3; 789--804
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers
    Autorzy:
    Kunicki, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/1953519.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    acoustic emission
    partial discharge
    insulation system
    measurements
    power transformers
    Opis:
    This paper presents comparative analysis of various acoustic signals expected during partial discharge (PD) measurements in operating power transformer. Main purpose of the paper is to yield relevant and reliable method to distinguish between various acoustic emission (AE) signals emitted by PD and other sources, with particular consideration of real-life results rather than laboratory simulations. Therefore, selected examples of real-life AE signals registered in seven different power transformers, under normal operation conditions, within few years are showed and analyzed. Five scenarios are investigated, which represent five types of AE sources: PD generated by artificial sources, and next four real-life sources (including PD in working transformer, oil flow, oil pumps and core). Several different signal processing methods are applied and compared in order to identify the PD signals. As a result, an energy patterns analysis based on the wavelet decomposition is found as the most reliable tool for identification of PD signals. The presented results may significantly support the process of interpretation of the PD measurement results, and may be used by field engineers as well as other researchers involved in PD analysis using AE method. Finally, observed properties also provide a solid basis for establishing or improving complete classification method based on the artificial intelligence algorithms.
    Źródło:
    Archives of Acoustics; 2020, 45, 4; 733-746
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of a Phase Resolved Partial Discharge Pattern Analysis for Acoustic Emission Method in High Voltage Insulation Systems Diagnostics
    Autorzy:
    Kunicki, M.
    Cichoń, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/177912.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    acoustic emission
    partial discharge
    transformer diagnostics
    insulation system
    Opis:
    An alternative method for analysis of acoustic emission (AE) signals generated by partial discharges (PD), based on a correlation between voltage phase run and AE pulses, so called phase resolved PD pattern (PRPD), is presented in the paper. PRPD pattern is a well-known analysis tool commonly used in such PD diagnostic methods as conventional electrical and UHF ones. Moreover, it yields various signal analysis abilities and allows a direct correlation indication between measurement results achieved using different methods. An original PRPD measurement methodology applied for AE method as well as some exemplary measurement results and further data analysis capabilities are presented in the paper. Also a comparative analysis of PRPD patterns achieved using various measurement methods and different PD source configurations have been investigated. All presented experiments were done under laboratory conditions using PD model sources immersed in the insulation oil. The main purpose of the presented research is to indicate an all-embracing analytical tool that yields an ability to direct comparison (qualitative as well as quantitative) of the AE measurement results with other commonly applied PD measurement methods. The presented results give a solid fundamental for further research work concerning a direct correlation method for AE and other described in the paper diagnostic techniques, mainly in order to continue PD phenomena analysis and assessment in real life high voltage apparatus insulation systems under normal onsite operation conditions.
    Źródło:
    Archives of Acoustics; 2018, 43, 2; 235-243
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Low voltage winding insulation systems under the influence of high du/dt slew rate inverter voltage
    Autorzy:
    Pauli, Florian
    Ruf, Andreas
    Hameyer, Kay
    Powiązania:
    https://bibliotekanauki.pl/articles/140993.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    life time
    partial discharge
    SiC semiconductors
    winding insulation system
    Opis:
    Variable speed and low voltage electrical drives are commonly operated by frequency converters. According to recent developments, there is a trend in the area of semi-conductors, that switching frequency and voltage slew rate will increase significantly. The aim of these semiconductors is to reduce the switching losses and to increase the switching frequency, which enables to reduce the size of passive components in the powerelectric circuit. This results in less material effort and lower cost, for the power electronic component. However, electric motors operated by high slew rate inverters show problems in the winding insulation, which have to be analyzed. Such problems are well known for high voltage machines. Due to the increasing slew rate, this problematic occurs in low voltage machines nowadays as well. Here, the influence of fast switching semiconductors on the winding insulation system is studied, using accelerated ageing tests with fast switching high-voltage generators.
    Źródło:
    Archives of Electrical Engineering; 2020, 69, 1; 187-202
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Variability of the Acoustic Emission Signals Generated by Partial Discharges in Mineral Oil
    Autorzy:
    Kunicki, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/177772.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    acoustic emission
    partial discharge
    insulation system
    measurements
    signal processing
    Opis:
    The main purpose of the presented research is to investigate the partial discharge (PD) phenomenon variability under long-term AC voltage with particular consideration of the selected physical quantities changes while measured and registered by the acoustic emission method (AE). During the research a PD model source generating surface discharges is immersed in the brand new insulation mineral oil. Acoustic signals generated by the continuously occurred PDs within 168 hours are registered. Several qualitative and quantitative indicators are assigned to describe the PD variability in time. Furthermore, some longterm characteristics of the applied PD model source in mineral oil, are also presented according to acoustic signals emitted by the PD. Finally, various statistical tools are applied for the results analysis and presentation. Despite there are numerous contemporary research papers dealing with long-term PD analysis, such complementary and multiparametric approach has not been presented so far, regarding the presented research. According to the presented research from among all assigned indicators there are discriminated descriptors that could depend on PD long-term duration. On the grounds of the regression models analysis there are discovered trends that potentially allow to apply the results for modeling of the PD variability in time using the acoustic emission method. Subsequently such an approach may potentially support the development and extend the abilities of the diagnostic tools and maintenance policy in electrical power industry.
    Źródło:
    Archives of Acoustics; 2019, 44, 2; 339-348
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie klasyfikatora neuronowego w systemie eksperckim oceny stanu układów izolacyjnych transformatorów elektroenergetycznych
    The Application of a Neural Classifier in an Expert System for the Evaluation of the Condition of Power Transformer Insulation System
    Autorzy:
    Boczar, T.
    Borucki, S.
    Cichoń, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/153524.pdf
    Data publikacji:
    2007
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    wyładowania niezupełne
    sieci neuronowe
    system ekspercki
    układ izolacyjny
    transformator elektroenergetyczny
    partial discharge
    artificial neural network
    expert's system
    paper-oil insulation
    power transformer
    Opis:
    Tematyka artykułu dotyczy oceny możliwości wykorzystania jednokierunkowej sieci neuronowej w systemie eksperckim diagnostyki stanu układów izolacyjnych transformatorów elektroenergetycznych. W artykule przedstawiono teoretyczne i praktyczne możliwości budowy systemu ekspertowego, bazującego na metodzie emisji akustycznej, wspomagającego diagnostykę układów izolacyjnych transformatorów dużej mocy. Zamieszczone w pracy wyniki przedstawiają skuteczność rozpoznawania badanych form WNZ (defektów izolacji), uzyskaną przy zastosowaniu klasyfikatora neuronowego, jak również ocenę możliwości jego zastosowania jako mechanizmu wnioskującego komputerowego systemu diagnostycznego.
    The subject matter of the paper refers to the evaluation of the application possibilities of a single-direction neural network in the expert system of the diagnostics of the insulation system condition. The paper presents theoretical and practical possibilities of building an expert system based on the acoustic emission method, assisting the diagnostics of insulation systems of high power transformers. The results presented in this paper show the recognition effectiveness of the PD forms under study (insulation defects), obtained by using a neural classifier as well as the evaluation of its application possibilities as an inferring mechanism of a computer diagnostic system.
    Źródło:
    Pomiary Automatyka Kontrola; 2007, R. 53, nr 10, 10; 29-32
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    System ekspertowy oceny stanu układów izolacyjnych transformatorów elektroenergetycznych z wykorzystaniem metody emisji akustycznej
    Expert system for assessment of electric power transformer insulation systems using the acoustic emission method
    Autorzy:
    Boczar, T.
    Frącz, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/152181.pdf
    Data publikacji:
    2009
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    metoda emisji akustycznej
    wyładowania elektryczne
    wyładowania niezupełne
    system ekspercki
    wysokonapięciowe systemy izolacyjne
    acoustic emission method
    electrical discharge
    partial discharge
    expert system
    high-voltage insulation systems
    Opis:
    Tematyka niniejszego artykułu dotyczy doskonalenia praktycznych zastosowań metody emisji akustycznej (EA) w diagnostyce wysokonapięciowych układów izolacyjnych urządzeń elektroenergetycznych. W szczególności przedstawiono podstawowe założenia oraz opisano poszczególne elementy eksperckiego systemu diagnostycznego wykorzystującego metodę akustyczną do oceny stanu mierzonej izolacji transformatorów energetycznych, wykonywanej podczas ich normalnej pracy w warunkach przemysłowych.
    The subject matter of this paper refers to the development of practical applications of the acoustic emission (EA) method to diagnostics of high-voltage insulation systems of power appliances, carried out during their regular operation in industrial conditions. First of all, basic assumptions are presented and the particular elements of the expert diagnostic system using AE method for the assessment of the condition of the electric power transformer insulation measured are described. Fig. 1 shows its block diagram in which the following modules can be distinguished: a measuring system (Figs. 2 and 3), a processing - analysing system, a knowledge base and a classifier. These modules are characterised successively in Section 2 of the paper. Special attention is given to the description of the group of multiparametric descriptors (Fig. 4) characterising the AE signals in the time, frequency and time-frequency domains, including descriptive statistics indexes and correlative parameters. Accordant descriptors make it possible, under strictly defined metrological conditions, to recognize basic partial discharge forms (PDs) that may occur in paper-oil insulation. In this way a catalogued knowledge base containing the so-called 'fingerprints' was created for basic types of high-voltage defects of insulation systems. The scope of the research work carried out in the Institute of Power Engineering, connected with a practical implementation of the system suggested, is characterised in the last section of the paper.
    Źródło:
    Pomiary Automatyka Kontrola; 2009, R. 55, nr 2, 2; 104-107
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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