Isbn: 9786138270126 - detection of interdisc faults in the windings of power transformer (9 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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      Paperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      Taschenbuch. Condición: Neu. Detection of Interdisc Faults in the Windings of Power Transformer | Sridhar Patthi (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138270126 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Feb 2018, 2018

      6138270126 / 9786138270126

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In extra high voltage power transmission, power transformer is the most important component. Insulation failure within transformer is considered to be one of the most important causes of failure of power transformer. Comparison of neutral currents at reduced and full voltages was carried out for detection of fault in a power transformer winding during impulse test. In order to assess the integrity of the winding, high voltage power transformers were subjected to full and chopped impulse voltages of specified values in accordance with the standard requirement. One of the tests carried out was the comparison of applied voltage and resultant neutral current signal at reduced and full voltage levels. The difference in wave shape of the recorded current and voltage signal confirmed the existence of fault in the transformer winding. In the present work, 61MVA, 11.5/230 kV generator transformer has been considered for analysis. The component of the noise which is inherent in the signal during recording was isolated using Daubechies wavelet and these de-noised signals were analyzed to identify the fault in the winding. 84 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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      Condición: New. PRINT ON DEMAND.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In extra high voltage power transmission, power transformer is the most important component. Insulation failure within transformer is considered to be one of the most important causes of failure of power transformer. Comparison of neutral currents at reduced and full voltages was carried out for detection of fault in a power transformer winding during impulse test. In order to assess the integrity of the winding, high voltage power transformers were subjected to full and chopped impulse voltages of specified values in accordance with the standard requirement. One of the tests carried out was the comparison of applied voltage and resultant neutral current signal at reduced and full voltage levels. The difference in wave shape of the recorded current and voltage signal confirmed the existence of fault in the transformer winding. In the present work, 61MVA, 11.5/230 kV generator transformer has been considered for analysis. The component of the noise which is inherent in the signal during recording was isolated using Daubechies wavelet and these de-noised signals were analyzed to identify the fault in the winding.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2018

      6138270126 / 9786138270126

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      Librería: moluna, Greven, Alemaniamoluna

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      Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patthi SridharDr. P Sridhar is working as professor & Head of Electrical Engg department, Institute of Aeronautical Engineering, Hyderabad, INDIA. He has 17 years of experience in teaching & research, published 34 papers in internati.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Feb 2018, 2018

      6138270126 / 9786138270126

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In extra high voltage power transmission, power transformer is the most important component. Insulation failure within transformer is considered to be one of the most important causes of failure of power transformer. Comparison of neutral currents at reduced and full voltages was carried out for detection of fault in a power transformer winding during impulse test. In order to assess the integrity of the winding, high voltage power transformers were subjected to full and chopped impulse voltages of specified values in accordance with the standard requirement. One of the tests carried out was the comparison of applied voltage and resultant neutral current signal at reduced and full voltage levels. The difference in wave shape of the recorded current and voltage signal confirmed the existence of fault in the transformer winding. In the present work, 61MVA, 11.5/230 kV generator transformer has been considered for analysis. The component of the noise which is inherent in the signal during recording was isolated using Daubechies wavelet and these de-noised signals were analyzed to identify the fault in the winding.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.