Line selection method with transient state based on intrinsic mode energy
In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state bas...
Ausführliche Beschreibung
Autor*in: |
WANG Qing-liang [verfasserIn] DU Hui [verfasserIn] ZHAO Yi-jie [verfasserIn] LI Lu [verfasserIn] ZHONG Ming-sheng [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Chinesisch |
Erschienen: |
2013 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Gong-kuang zidonghua - Editorial Department of Industry and Mine Automation, 2021, 39(2013), 9, Seite 92-95 |
---|---|
Übergeordnetes Werk: |
volume:39 ; year:2013 ; number:9 ; pages:92-95 |
Links: |
---|
DOI / URN: |
10.7526/j.issn.1671-251X.2013.09.024 |
---|
Katalog-ID: |
DOAJ088502163 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ088502163 | ||
003 | DE-627 | ||
005 | 20230410113340.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230410s2013 xx |||||o 00| ||chi c | ||
024 | 7 | |a 10.7526/j.issn.1671-251X.2013.09.024 |2 doi | |
035 | |a (DE-627)DOAJ088502163 | ||
035 | |a (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a chi | ||
050 | 0 | |a TN1-997 | |
100 | 0 | |a WANG Qing-liang |e verfasserin |4 aut | |
245 | 1 | 0 | |a Line selection method with transient state based on intrinsic mode energy |
264 | 1 | |c 2013 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. | ||
650 | 4 | |a coal mine high-voltage power grid | |
650 | 4 | |a fault line selection | |
650 | 4 | |a empirical mode decomposition | |
650 | 4 | |a intrinsic mode energy | |
650 | 4 | |a energy weight factor | |
653 | 0 | |a Mining engineering. Metallurgy | |
700 | 0 | |a DU Hui |e verfasserin |4 aut | |
700 | 0 | |a ZHAO Yi-jie |e verfasserin |4 aut | |
700 | 0 | |a LI Lu |e verfasserin |4 aut | |
700 | 0 | |a ZHONG Ming-sheng |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Gong-kuang zidonghua |d Editorial Department of Industry and Mine Automation, 2021 |g 39(2013), 9, Seite 92-95 |w (DE-627)1680984667 |x 1671251X |7 nnns |
773 | 1 | 8 | |g volume:39 |g year:2013 |g number:9 |g pages:92-95 |
856 | 4 | 0 | |u https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 |z kostenfrei |
856 | 4 | 0 | |u http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1671-251X |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_2817 | ||
951 | |a AR | ||
952 | |d 39 |j 2013 |e 9 |h 92-95 |
author_variant |
w q l wql d h dh z y j zyj l l ll z m s zms |
---|---|
matchkey_str |
article:1671251X:2013----::ieeetomtowttasetttbsdn |
hierarchy_sort_str |
2013 |
callnumber-subject-code |
TN |
publishDate |
2013 |
allfields |
10.7526/j.issn.1671-251X.2013.09.024 doi (DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 DE-627 ger DE-627 rakwb chi TN1-997 WANG Qing-liang verfasserin aut Line selection method with transient state based on intrinsic mode energy 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy DU Hui verfasserin aut ZHAO Yi-jie verfasserin aut LI Lu verfasserin aut ZHONG Ming-sheng verfasserin aut In Gong-kuang zidonghua Editorial Department of Industry and Mine Automation, 2021 39(2013), 9, Seite 92-95 (DE-627)1680984667 1671251X nnns volume:39 year:2013 number:9 pages:92-95 https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 kostenfrei http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/toc/1671-251X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 39 2013 9 92-95 |
spelling |
10.7526/j.issn.1671-251X.2013.09.024 doi (DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 DE-627 ger DE-627 rakwb chi TN1-997 WANG Qing-liang verfasserin aut Line selection method with transient state based on intrinsic mode energy 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy DU Hui verfasserin aut ZHAO Yi-jie verfasserin aut LI Lu verfasserin aut ZHONG Ming-sheng verfasserin aut In Gong-kuang zidonghua Editorial Department of Industry and Mine Automation, 2021 39(2013), 9, Seite 92-95 (DE-627)1680984667 1671251X nnns volume:39 year:2013 number:9 pages:92-95 https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 kostenfrei http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/toc/1671-251X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 39 2013 9 92-95 |
allfields_unstemmed |
10.7526/j.issn.1671-251X.2013.09.024 doi (DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 DE-627 ger DE-627 rakwb chi TN1-997 WANG Qing-liang verfasserin aut Line selection method with transient state based on intrinsic mode energy 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy DU Hui verfasserin aut ZHAO Yi-jie verfasserin aut LI Lu verfasserin aut ZHONG Ming-sheng verfasserin aut In Gong-kuang zidonghua Editorial Department of Industry and Mine Automation, 2021 39(2013), 9, Seite 92-95 (DE-627)1680984667 1671251X nnns volume:39 year:2013 number:9 pages:92-95 https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 kostenfrei http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/toc/1671-251X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 39 2013 9 92-95 |
allfieldsGer |
10.7526/j.issn.1671-251X.2013.09.024 doi (DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 DE-627 ger DE-627 rakwb chi TN1-997 WANG Qing-liang verfasserin aut Line selection method with transient state based on intrinsic mode energy 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy DU Hui verfasserin aut ZHAO Yi-jie verfasserin aut LI Lu verfasserin aut ZHONG Ming-sheng verfasserin aut In Gong-kuang zidonghua Editorial Department of Industry and Mine Automation, 2021 39(2013), 9, Seite 92-95 (DE-627)1680984667 1671251X nnns volume:39 year:2013 number:9 pages:92-95 https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 kostenfrei http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/toc/1671-251X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 39 2013 9 92-95 |
allfieldsSound |
10.7526/j.issn.1671-251X.2013.09.024 doi (DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 DE-627 ger DE-627 rakwb chi TN1-997 WANG Qing-liang verfasserin aut Line selection method with transient state based on intrinsic mode energy 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy DU Hui verfasserin aut ZHAO Yi-jie verfasserin aut LI Lu verfasserin aut ZHONG Ming-sheng verfasserin aut In Gong-kuang zidonghua Editorial Department of Industry and Mine Automation, 2021 39(2013), 9, Seite 92-95 (DE-627)1680984667 1671251X nnns volume:39 year:2013 number:9 pages:92-95 https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 kostenfrei http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 kostenfrei https://doaj.org/toc/1671-251X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 39 2013 9 92-95 |
language |
Chinese |
source |
In Gong-kuang zidonghua 39(2013), 9, Seite 92-95 volume:39 year:2013 number:9 pages:92-95 |
sourceStr |
In Gong-kuang zidonghua 39(2013), 9, Seite 92-95 volume:39 year:2013 number:9 pages:92-95 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor Mining engineering. Metallurgy |
isfreeaccess_bool |
true |
container_title |
Gong-kuang zidonghua |
authorswithroles_txt_mv |
WANG Qing-liang @@aut@@ DU Hui @@aut@@ ZHAO Yi-jie @@aut@@ LI Lu @@aut@@ ZHONG Ming-sheng @@aut@@ |
publishDateDaySort_date |
2013-01-01T00:00:00Z |
hierarchy_top_id |
1680984667 |
id |
DOAJ088502163 |
language_de |
chinesisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ088502163</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410113340.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230410s2013 xx |||||o 00| ||chi c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ088502163</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TN1-997</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">WANG Qing-liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Line selection method with transient state based on intrinsic mode energy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">coal mine high-voltage power grid</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fault line selection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">empirical mode decomposition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">intrinsic mode energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">energy weight factor</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mining engineering. Metallurgy</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">DU Hui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">ZHAO Yi-jie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">LI Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">ZHONG Ming-sheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Gong-kuang zidonghua</subfield><subfield code="d">Editorial Department of Industry and Mine Automation, 2021</subfield><subfield code="g">39(2013), 9, Seite 92-95</subfield><subfield code="w">(DE-627)1680984667</subfield><subfield code="x">1671251X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:9</subfield><subfield code="g">pages:92-95</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1671-251X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2013</subfield><subfield code="e">9</subfield><subfield code="h">92-95</subfield></datafield></record></collection>
|
callnumber-first |
T - Technology |
author |
WANG Qing-liang |
spellingShingle |
WANG Qing-liang misc TN1-997 misc coal mine high-voltage power grid misc fault line selection misc empirical mode decomposition misc intrinsic mode energy misc energy weight factor misc Mining engineering. Metallurgy Line selection method with transient state based on intrinsic mode energy |
authorStr |
WANG Qing-liang |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)1680984667 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
TN1-997 |
illustrated |
Not Illustrated |
issn |
1671251X |
topic_title |
TN1-997 Line selection method with transient state based on intrinsic mode energy coal mine high-voltage power grid fault line selection empirical mode decomposition intrinsic mode energy energy weight factor |
topic |
misc TN1-997 misc coal mine high-voltage power grid misc fault line selection misc empirical mode decomposition misc intrinsic mode energy misc energy weight factor misc Mining engineering. Metallurgy |
topic_unstemmed |
misc TN1-997 misc coal mine high-voltage power grid misc fault line selection misc empirical mode decomposition misc intrinsic mode energy misc energy weight factor misc Mining engineering. Metallurgy |
topic_browse |
misc TN1-997 misc coal mine high-voltage power grid misc fault line selection misc empirical mode decomposition misc intrinsic mode energy misc energy weight factor misc Mining engineering. Metallurgy |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Gong-kuang zidonghua |
hierarchy_parent_id |
1680984667 |
hierarchy_top_title |
Gong-kuang zidonghua |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)1680984667 |
title |
Line selection method with transient state based on intrinsic mode energy |
ctrlnum |
(DE-627)DOAJ088502163 (DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0 |
title_full |
Line selection method with transient state based on intrinsic mode energy |
author_sort |
WANG Qing-liang |
journal |
Gong-kuang zidonghua |
journalStr |
Gong-kuang zidonghua |
callnumber-first-code |
T |
lang_code |
chi |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2013 |
contenttype_str_mv |
txt |
container_start_page |
92 |
author_browse |
WANG Qing-liang DU Hui ZHAO Yi-jie LI Lu ZHONG Ming-sheng |
container_volume |
39 |
class |
TN1-997 |
format_se |
Elektronische Aufsätze |
author-letter |
WANG Qing-liang |
doi_str_mv |
10.7526/j.issn.1671-251X.2013.09.024 |
author2-role |
verfasserin |
title_sort |
line selection method with transient state based on intrinsic mode energy |
callnumber |
TN1-997 |
title_auth |
Line selection method with transient state based on intrinsic mode energy |
abstract |
In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. |
abstractGer |
In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. |
abstract_unstemmed |
In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 |
container_issue |
9 |
title_short |
Line selection method with transient state based on intrinsic mode energy |
url |
https://doi.org/10.7526/j.issn.1671-251X.2013.09.024 https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0 http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024 https://doaj.org/toc/1671-251X |
remote_bool |
true |
author2 |
DU Hui ZHAO Yi-jie LI Lu ZHONG Ming-sheng |
author2Str |
DU Hui ZHAO Yi-jie LI Lu ZHONG Ming-sheng |
ppnlink |
1680984667 |
callnumber-subject |
TN - Mining Engineering and Metallurgy |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.7526/j.issn.1671-251X.2013.09.024 |
callnumber-a |
TN1-997 |
up_date |
2024-07-03T18:00:50.490Z |
_version_ |
1803581810791153665 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ088502163</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410113340.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230410s2013 xx |||||o 00| ||chi c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ088502163</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ608a4c1ac2b24023921a47bcbf0a80f0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TN1-997</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">WANG Qing-liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Line selection method with transient state based on intrinsic mode energy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In view of problem that fault line selection method based on wavelet analysis of coal mine power grid ca't guarantee the optimal decomposition effect due to the decomposition effect depends on choice of primary function, the paper presented a fault line selection method with transient state based on intrinsic mode energy. The method uses adaptivity of empirical mode decomposition to signal local feature to analyze transient characteristics of zero sequence current for single-phase grounding fault, and defines intrinsic mode energy and energy weight factor as parameters of fault characteristics, so as to realize data mining of fault information of transient state. It obtained intrinsic mode energy of zero sequence transient current of each line after fault and calculated energy weight factor, then determined fault line by comparing the energy weight factors, namely, the line with the biggest energy weight factor is fault line. The theoretical analysis and simulation results show that the method is not affected by transition resistance, fault time and other fault conditions, and can accurately achieve fault line selection of coal mine high-voltage power grid.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">coal mine high-voltage power grid</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fault line selection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">empirical mode decomposition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">intrinsic mode energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">energy weight factor</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mining engineering. Metallurgy</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">DU Hui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">ZHAO Yi-jie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">LI Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">ZHONG Ming-sheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Gong-kuang zidonghua</subfield><subfield code="d">Editorial Department of Industry and Mine Automation, 2021</subfield><subfield code="g">39(2013), 9, Seite 92-95</subfield><subfield code="w">(DE-627)1680984667</subfield><subfield code="x">1671251X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:9</subfield><subfield code="g">pages:92-95</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/608a4c1ac2b24023921a47bcbf0a80f0</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.09.024</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1671-251X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2013</subfield><subfield code="e">9</subfield><subfield code="h">92-95</subfield></datafield></record></collection>
|
score |
7.400923 |