Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA)
Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
MIYAZAKI, SATORU [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2017 Wiley Periodicals, Inc. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Electrical engineering in Japan - New York, NY : Wiley, 1963, 201(2017), 3, Seite 25-34 |
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| Übergeordnetes Werk: |
volume:201 ; year:2017 ; number:3 ; pages:25-34 |
| Links: |
|---|
| DOI / URN: |
10.1002/eej.23012 |
|---|
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| 520 | |a Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. | ||
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10.1002/eej.23012 doi PQ20171228 (DE-627)OLC1997310007 (DE-599)GBVOLC1997310007 (PRQ)p1411-8b2f3dec82e3af05d202f1c7af7ab9cfcaa83014c6ace94d0413fc5afc1fe0763 (KEY)0057816920170000201000300025diagnosiscriterionofabnormalityoftransformerwindin DE-627 ger DE-627 rakwb eng 620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl MIYAZAKI, SATORU verfasserin aut Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. Nutzungsrecht: © 2017 Wiley Periodicals, Inc. diagnosis of abnormality of winding power transformer frequency response analysis criterion MIZUTANI, YOSHINOBU oth TAGUCHI, AKIRA oth MURAKAMI, JUNICHI oth TSUJI, NAOKAZU oth TAKASHIMA, MASAHIRO oth KATO, OSAMU oth Enthalten in Electrical engineering in Japan New York, NY : Wiley, 1963 201(2017), 3, Seite 25-34 (DE-627)129360791 (DE-600)160761-3 (DE-576)014733242 0424-7760 nnns volume:201 year:2017 number:3 pages:25-34 http://dx.doi.org/10.1002/eej.23012 Volltext http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 53.00 AVZ 52.53 AVZ 53.31 AVZ 53.33 AVZ AR 201 2017 3 25-34 |
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10.1002/eej.23012 doi PQ20171228 (DE-627)OLC1997310007 (DE-599)GBVOLC1997310007 (PRQ)p1411-8b2f3dec82e3af05d202f1c7af7ab9cfcaa83014c6ace94d0413fc5afc1fe0763 (KEY)0057816920170000201000300025diagnosiscriterionofabnormalityoftransformerwindin DE-627 ger DE-627 rakwb eng 620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl MIYAZAKI, SATORU verfasserin aut Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. Nutzungsrecht: © 2017 Wiley Periodicals, Inc. diagnosis of abnormality of winding power transformer frequency response analysis criterion MIZUTANI, YOSHINOBU oth TAGUCHI, AKIRA oth MURAKAMI, JUNICHI oth TSUJI, NAOKAZU oth TAKASHIMA, MASAHIRO oth KATO, OSAMU oth Enthalten in Electrical engineering in Japan New York, NY : Wiley, 1963 201(2017), 3, Seite 25-34 (DE-627)129360791 (DE-600)160761-3 (DE-576)014733242 0424-7760 nnns volume:201 year:2017 number:3 pages:25-34 http://dx.doi.org/10.1002/eej.23012 Volltext http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 53.00 AVZ 52.53 AVZ 53.31 AVZ 53.33 AVZ AR 201 2017 3 25-34 |
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10.1002/eej.23012 doi PQ20171228 (DE-627)OLC1997310007 (DE-599)GBVOLC1997310007 (PRQ)p1411-8b2f3dec82e3af05d202f1c7af7ab9cfcaa83014c6ace94d0413fc5afc1fe0763 (KEY)0057816920170000201000300025diagnosiscriterionofabnormalityoftransformerwindin DE-627 ger DE-627 rakwb eng 620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl MIYAZAKI, SATORU verfasserin aut Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. Nutzungsrecht: © 2017 Wiley Periodicals, Inc. diagnosis of abnormality of winding power transformer frequency response analysis criterion MIZUTANI, YOSHINOBU oth TAGUCHI, AKIRA oth MURAKAMI, JUNICHI oth TSUJI, NAOKAZU oth TAKASHIMA, MASAHIRO oth KATO, OSAMU oth Enthalten in Electrical engineering in Japan New York, NY : Wiley, 1963 201(2017), 3, Seite 25-34 (DE-627)129360791 (DE-600)160761-3 (DE-576)014733242 0424-7760 nnns volume:201 year:2017 number:3 pages:25-34 http://dx.doi.org/10.1002/eej.23012 Volltext http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 53.00 AVZ 52.53 AVZ 53.31 AVZ 53.33 AVZ AR 201 2017 3 25-34 |
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10.1002/eej.23012 doi PQ20171228 (DE-627)OLC1997310007 (DE-599)GBVOLC1997310007 (PRQ)p1411-8b2f3dec82e3af05d202f1c7af7ab9cfcaa83014c6ace94d0413fc5afc1fe0763 (KEY)0057816920170000201000300025diagnosiscriterionofabnormalityoftransformerwindin DE-627 ger DE-627 rakwb eng 620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl MIYAZAKI, SATORU verfasserin aut Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. Nutzungsrecht: © 2017 Wiley Periodicals, Inc. diagnosis of abnormality of winding power transformer frequency response analysis criterion MIZUTANI, YOSHINOBU oth TAGUCHI, AKIRA oth MURAKAMI, JUNICHI oth TSUJI, NAOKAZU oth TAKASHIMA, MASAHIRO oth KATO, OSAMU oth Enthalten in Electrical engineering in Japan New York, NY : Wiley, 1963 201(2017), 3, Seite 25-34 (DE-627)129360791 (DE-600)160761-3 (DE-576)014733242 0424-7760 nnns volume:201 year:2017 number:3 pages:25-34 http://dx.doi.org/10.1002/eej.23012 Volltext http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 53.00 AVZ 52.53 AVZ 53.31 AVZ 53.33 AVZ AR 201 2017 3 25-34 |
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10.1002/eej.23012 doi PQ20171228 (DE-627)OLC1997310007 (DE-599)GBVOLC1997310007 (PRQ)p1411-8b2f3dec82e3af05d202f1c7af7ab9cfcaa83014c6ace94d0413fc5afc1fe0763 (KEY)0057816920170000201000300025diagnosiscriterionofabnormalityoftransformerwindin DE-627 ger DE-627 rakwb eng 620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl MIYAZAKI, SATORU verfasserin aut Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. Nutzungsrecht: © 2017 Wiley Periodicals, Inc. diagnosis of abnormality of winding power transformer frequency response analysis criterion MIZUTANI, YOSHINOBU oth TAGUCHI, AKIRA oth MURAKAMI, JUNICHI oth TSUJI, NAOKAZU oth TAKASHIMA, MASAHIRO oth KATO, OSAMU oth Enthalten in Electrical engineering in Japan New York, NY : Wiley, 1963 201(2017), 3, Seite 25-34 (DE-627)129360791 (DE-600)160761-3 (DE-576)014733242 0424-7760 nnns volume:201 year:2017 number:3 pages:25-34 http://dx.doi.org/10.1002/eej.23012 Volltext http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 53.00 AVZ 52.53 AVZ 53.31 AVZ 53.33 AVZ AR 201 2017 3 25-34 |
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620 ZDB 53.00 bkl 52.53 bkl 53.31 bkl 53.33 bkl Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) diagnosis of abnormality of winding power transformer frequency response analysis criterion |
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Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) |
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Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) |
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MIYAZAKI, SATORU |
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diagnosis criterion of abnormality of transformer winding by frequency response analysis (fra) |
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Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) |
| abstract |
Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. |
| abstractGer |
Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. |
| abstract_unstemmed |
Frequency response analysis (FRA) is a powerful technique to detect internal abnormalities within power transformers. However, diagnosis criteria of power transformers by FRA have not been fully established yet. In this paper, a new evaluation method of degree of identification between two transfer functions is proposed. In the proposed method, a frequency window is employed and cross‐correlation factor is calculated with moving the window. Furthermore, the proposed method is applied to transfer functions of real transformers with or without some abnormalities. Based on this discussion, objective criteria for diagnosis of abnormalities of transformer windings by FRA are proposed. The proposed criteria are based on a few data of transformers with some abnormalities. Therefore, the proposed criteria are tentative and they would be improved by accumulation of further data. |
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Diagnosis Criterion of Abnormality of Transformer Winding by Frequency Response Analysis (FRA) |
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http://dx.doi.org/10.1002/eej.23012 http://onlinelibrary.wiley.com/doi/10.1002/eej.23012/abstract |
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MIZUTANI, YOSHINOBU TAGUCHI, AKIRA MURAKAMI, JUNICHI TSUJI, NAOKAZU TAKASHIMA, MASAHIRO KATO, OSAMU |
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MIZUTANI, YOSHINOBU TAGUCHI, AKIRA MURAKAMI, JUNICHI TSUJI, NAOKAZU TAKASHIMA, MASAHIRO KATO, OSAMU |
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