A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm
This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Swetapadma, Aleena [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver - Couch, Yvonne ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:69 ; year:2018 ; pages:41-53 ; extent:13 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compeleceng.2018.05.024 |
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ELV043690807 |
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| 520 | |a This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. | ||
| 520 | |a This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. | ||
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10.1016/j.compeleceng.2018.05.024 doi GBV00000000000383.pica (DE-627)ELV043690807 (ELSEVIER)S0045-7906(17)30780-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 43.13 bkl 50.17 bkl 58.53 bkl Swetapadma, Aleena verfasserin aut A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. Yadav, Anamika oth Enthalten in Elsevier Science Couch, Yvonne ELSEVIER Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017356792 volume:69 year:2018 pages:41-53 extent:13 https://doi.org/10.1016/j.compeleceng.2018.05.024 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_23 GBV_ILN_40 GBV_ILN_70 43.13 Umwelttoxikologie VZ 50.17 Sicherheitstechnik VZ 58.53 Abfallwirtschaft VZ AR 69 2018 41-53 13 |
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10.1016/j.compeleceng.2018.05.024 doi GBV00000000000383.pica (DE-627)ELV043690807 (ELSEVIER)S0045-7906(17)30780-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 43.13 bkl 50.17 bkl 58.53 bkl Swetapadma, Aleena verfasserin aut A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. Yadav, Anamika oth Enthalten in Elsevier Science Couch, Yvonne ELSEVIER Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017356792 volume:69 year:2018 pages:41-53 extent:13 https://doi.org/10.1016/j.compeleceng.2018.05.024 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_23 GBV_ILN_40 GBV_ILN_70 43.13 Umwelttoxikologie VZ 50.17 Sicherheitstechnik VZ 58.53 Abfallwirtschaft VZ AR 69 2018 41-53 13 |
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10.1016/j.compeleceng.2018.05.024 doi GBV00000000000383.pica (DE-627)ELV043690807 (ELSEVIER)S0045-7906(17)30780-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 43.13 bkl 50.17 bkl 58.53 bkl Swetapadma, Aleena verfasserin aut A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. Yadav, Anamika oth Enthalten in Elsevier Science Couch, Yvonne ELSEVIER Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017356792 volume:69 year:2018 pages:41-53 extent:13 https://doi.org/10.1016/j.compeleceng.2018.05.024 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_23 GBV_ILN_40 GBV_ILN_70 43.13 Umwelttoxikologie VZ 50.17 Sicherheitstechnik VZ 58.53 Abfallwirtschaft VZ AR 69 2018 41-53 13 |
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10.1016/j.compeleceng.2018.05.024 doi GBV00000000000383.pica (DE-627)ELV043690807 (ELSEVIER)S0045-7906(17)30780-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 43.13 bkl 50.17 bkl 58.53 bkl Swetapadma, Aleena verfasserin aut A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. Yadav, Anamika oth Enthalten in Elsevier Science Couch, Yvonne ELSEVIER Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017356792 volume:69 year:2018 pages:41-53 extent:13 https://doi.org/10.1016/j.compeleceng.2018.05.024 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_23 GBV_ILN_40 GBV_ILN_70 43.13 Umwelttoxikologie VZ 50.17 Sicherheitstechnik VZ 58.53 Abfallwirtschaft VZ AR 69 2018 41-53 13 |
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10.1016/j.compeleceng.2018.05.024 doi GBV00000000000383.pica (DE-627)ELV043690807 (ELSEVIER)S0045-7906(17)30780-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 43.13 bkl 50.17 bkl 58.53 bkl Swetapadma, Aleena verfasserin aut A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm 2018transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. Yadav, Anamika oth Enthalten in Elsevier Science Couch, Yvonne ELSEVIER Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017356792 volume:69 year:2018 pages:41-53 extent:13 https://doi.org/10.1016/j.compeleceng.2018.05.024 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_23 GBV_ILN_40 GBV_ILN_70 43.13 Umwelttoxikologie VZ 50.17 Sicherheitstechnik VZ 58.53 Abfallwirtschaft VZ AR 69 2018 41-53 13 |
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Brain-derived microvesicles confer sickness behaviours by switching on the acute phase response in the liver |
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Swetapadma, Aleena |
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Swetapadma, Aleena |
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10.1016/j.compeleceng.2018.05.024 |
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a novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm |
| title_auth |
A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm |
| abstract |
This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. |
| abstractGer |
This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. |
| abstract_unstemmed |
This paper proposes k-nearest neighbour (k-NN)-based method for fault location estimation of all types of fault in parallel lines using one-terminal measurement. Discrete Fourier Transform (DFT) is used for pre-processing the signals and then the standard deviation of one cycle of pre-fault and one cycle of post-fault samples are used as inputs to k-NN algorithm. The results obtained under various fault conditions demonstrate the high accuracy of the proposed scheme to estimate the fault location. The accuracy of the k-NN-based fault location scheme is not affected by alteration in fault type including inter-circuit faults, fault location, fault inception angle, fault resistance, and pre-fault load angle. |
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| title_short |
A novel single-ended fault location scheme for parallel transmission lines using k-nearest neighbor algorithm |
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https://doi.org/10.1016/j.compeleceng.2018.05.024 |
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Yadav, Anamika |
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