Novel detection method for DC series arc faults by using morphological filtering
It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as lar...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Luping, Chen [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis and Akt/GSK3β signaling disruption - Moosavi, Maryam ELSEVIER, 2014transfer abstract, Beijing |
|---|---|
| Übergeordnetes Werk: |
volume:22 ; year:2015 ; number:5 ; pages:84-91 ; extent:8 |
| Links: |
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| DOI / URN: |
10.1016/S1005-8885(15)60685-9 |
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ELV039876144 |
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| 520 | |a It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. | ||
| 520 | |a It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. | ||
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10.1016/S1005-8885(15)60685-9 doi GBVA2015017000028.pica (DE-627)ELV039876144 (ELSEVIER)S1005-8885(15)60685-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 370 VZ 5,3 ssgn Luping, Chen verfasserin aut Novel detection method for DC series arc faults by using morphological filtering 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. structural elements Elsevier arc fault Elsevier fault detection Elsevier DC series arc Elsevier mathematical morphology Elsevier Peng, Wang oth Liangjun, Xu oth Enthalten in Moosavi, Maryam ELSEVIER Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis and Akt/GSK3β signaling disruption 2014transfer abstract Beijing (DE-627)ELV023058757 volume:22 year:2015 number:5 pages:84-91 extent:8 https://doi.org/10.1016/S1005-8885(15)60685-9 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_72 GBV_ILN_613 AR 22 2015 5 84-91 8 045F 620 |
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10.1016/S1005-8885(15)60685-9 doi GBVA2015017000028.pica (DE-627)ELV039876144 (ELSEVIER)S1005-8885(15)60685-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 370 VZ 5,3 ssgn Luping, Chen verfasserin aut Novel detection method for DC series arc faults by using morphological filtering 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. structural elements Elsevier arc fault Elsevier fault detection Elsevier DC series arc Elsevier mathematical morphology Elsevier Peng, Wang oth Liangjun, Xu oth Enthalten in Moosavi, Maryam ELSEVIER Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis and Akt/GSK3β signaling disruption 2014transfer abstract Beijing (DE-627)ELV023058757 volume:22 year:2015 number:5 pages:84-91 extent:8 https://doi.org/10.1016/S1005-8885(15)60685-9 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_72 GBV_ILN_613 AR 22 2015 5 84-91 8 045F 620 |
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10.1016/S1005-8885(15)60685-9 doi GBVA2015017000028.pica (DE-627)ELV039876144 (ELSEVIER)S1005-8885(15)60685-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 370 VZ 5,3 ssgn Luping, Chen verfasserin aut Novel detection method for DC series arc faults by using morphological filtering 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. structural elements Elsevier arc fault Elsevier fault detection Elsevier DC series arc Elsevier mathematical morphology Elsevier Peng, Wang oth Liangjun, Xu oth Enthalten in Moosavi, Maryam ELSEVIER Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis and Akt/GSK3β signaling disruption 2014transfer abstract Beijing (DE-627)ELV023058757 volume:22 year:2015 number:5 pages:84-91 extent:8 https://doi.org/10.1016/S1005-8885(15)60685-9 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_72 GBV_ILN_613 AR 22 2015 5 84-91 8 045F 620 |
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10.1016/S1005-8885(15)60685-9 doi GBVA2015017000028.pica (DE-627)ELV039876144 (ELSEVIER)S1005-8885(15)60685-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 370 VZ 5,3 ssgn Luping, Chen verfasserin aut Novel detection method for DC series arc faults by using morphological filtering 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. structural elements Elsevier arc fault Elsevier fault detection Elsevier DC series arc Elsevier mathematical morphology Elsevier Peng, Wang oth Liangjun, Xu oth Enthalten in Moosavi, Maryam ELSEVIER Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis and Akt/GSK3β signaling disruption 2014transfer abstract Beijing (DE-627)ELV023058757 volume:22 year:2015 number:5 pages:84-91 extent:8 https://doi.org/10.1016/S1005-8885(15)60685-9 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_72 GBV_ILN_613 AR 22 2015 5 84-91 8 045F 620 |
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Luping, Chen |
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Elektronische Aufsätze |
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Luping, Chen |
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10.1016/S1005-8885(15)60685-9 |
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620 610 370 |
| title_sort |
novel detection method for dc series arc faults by using morphological filtering |
| title_auth |
Novel detection method for DC series arc faults by using morphological filtering |
| abstract |
It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. |
| abstractGer |
It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. |
| abstract_unstemmed |
It has been known that DC arc faults pose a hazard in power electronics systems. Due to the fault current is lower than normal current load, series arc is more difficult to be discovered than parallel arc. The traditional methods of DC series arc faults detection have some disadvantages, such as large computation, long delay and easier influence by interferences. In this paper, a novel method with multi-scale morphological filtering was utilized for the fault detection of DC series arc. Compared to the tradition method, the proposed method is more simple and efficient. It was verified that it was convenient for field application of on-line monitoring and diagnosis with a good ability to prevent misjudgments from the environment interference. |
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| title_short |
Novel detection method for DC series arc faults by using morphological filtering |
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https://doi.org/10.1016/S1005-8885(15)60685-9 |
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| author2 |
Peng, Wang Liangjun, Xu |
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| up_date |
2024-07-06T21:42:57.048Z |
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