Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection
• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimizatio...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, G.F. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
|---|
| Schlagwörter: |
|---|
| Umfang: |
9 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Antioxidant activity of propolis extracts from Serbia: A polarographic approach - 2012, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:209 ; year:2014 ; day:1 ; month:03 ; pages:24-32 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.sna.2014.01.004 |
|---|
| Katalog-ID: |
ELV034002626 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV034002626 | ||
| 003 | DE-627 | ||
| 005 | 20230624002805.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2014 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.sna.2014.01.004 |2 doi | |
| 028 | 5 | 2 | |a GBVA2014014000019.pica |
| 035 | |a (DE-627)ELV034002626 | ||
| 035 | |a (ELSEVIER)S0924-4247(14)00006-5 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 530 |a 620 | |
| 082 | 0 | 4 | |a 530 |q DE-600 |
| 082 | 0 | 4 | |a 620 |q DE-600 |
| 082 | 0 | 4 | |a 630 |q VZ |
| 082 | 0 | 4 | |a 640 |q VZ |
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 530 |a 620 |q VZ |
| 084 | |a 52.56 |2 bkl | ||
| 100 | 1 | |a Wang, G.F. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| 264 | 1 | |c 2014 | |
| 300 | |a 9 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. | ||
| 650 | 7 | |a ν-SVM |2 Elsevier | |
| 650 | 7 | |a Dimension reduction |2 Elsevier | |
| 650 | 7 | |a Locality preserving projection |2 Elsevier | |
| 650 | 7 | |a Tool condition monitoring |2 Elsevier | |
| 650 | 7 | |a Nearest neighbor algorithm |2 Elsevier | |
| 700 | 1 | |a Yang, Y.W. |4 oth | |
| 700 | 1 | |a Zhang, Y.C. |4 oth | |
| 700 | 1 | |a Xie, Q.L. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |t Antioxidant activity of propolis extracts from Serbia: A polarographic approach |d 2012 |g Amsterdam [u.a.] |w (DE-627)ELV01620638X |
| 773 | 1 | 8 | |g volume:209 |g year:2014 |g day:1 |g month:03 |g pages:24-32 |g extent:9 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.sna.2014.01.004 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 52.56 |j Regenerative Energieformen |j alternative Energieformen |q VZ |
| 951 | |a AR | ||
| 952 | |d 209 |j 2014 |b 1 |c 0301 |h 24-32 |g 9 | ||
| 953 | |2 045F |a 530 | ||
| author_variant |
g w gw |
|---|---|
| matchkey_str |
wanggfyangywzhangycxieql:2014----:irtosnobsdolodtomntrnuiguprvcomcienl |
| hierarchy_sort_str |
2014 |
| bklnumber |
52.56 |
| publishDate |
2014 |
| allfields |
10.1016/j.sna.2014.01.004 doi GBVA2014014000019.pica (DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 DE-627 ger DE-627 rakwb eng 530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Wang, G.F. verfasserin aut Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection 2014 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier Yang, Y.W. oth Zhang, Y.C. oth Xie, Q.L. oth Enthalten in Elsevier Science Antioxidant activity of propolis extracts from Serbia: A polarographic approach 2012 Amsterdam [u.a.] (DE-627)ELV01620638X volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 https://doi.org/10.1016/j.sna.2014.01.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 209 2014 1 0301 24-32 9 045F 530 |
| spelling |
10.1016/j.sna.2014.01.004 doi GBVA2014014000019.pica (DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 DE-627 ger DE-627 rakwb eng 530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Wang, G.F. verfasserin aut Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection 2014 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier Yang, Y.W. oth Zhang, Y.C. oth Xie, Q.L. oth Enthalten in Elsevier Science Antioxidant activity of propolis extracts from Serbia: A polarographic approach 2012 Amsterdam [u.a.] (DE-627)ELV01620638X volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 https://doi.org/10.1016/j.sna.2014.01.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 209 2014 1 0301 24-32 9 045F 530 |
| allfields_unstemmed |
10.1016/j.sna.2014.01.004 doi GBVA2014014000019.pica (DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 DE-627 ger DE-627 rakwb eng 530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Wang, G.F. verfasserin aut Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection 2014 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier Yang, Y.W. oth Zhang, Y.C. oth Xie, Q.L. oth Enthalten in Elsevier Science Antioxidant activity of propolis extracts from Serbia: A polarographic approach 2012 Amsterdam [u.a.] (DE-627)ELV01620638X volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 https://doi.org/10.1016/j.sna.2014.01.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 209 2014 1 0301 24-32 9 045F 530 |
| allfieldsGer |
10.1016/j.sna.2014.01.004 doi GBVA2014014000019.pica (DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 DE-627 ger DE-627 rakwb eng 530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Wang, G.F. verfasserin aut Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection 2014 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier Yang, Y.W. oth Zhang, Y.C. oth Xie, Q.L. oth Enthalten in Elsevier Science Antioxidant activity of propolis extracts from Serbia: A polarographic approach 2012 Amsterdam [u.a.] (DE-627)ELV01620638X volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 https://doi.org/10.1016/j.sna.2014.01.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 209 2014 1 0301 24-32 9 045F 530 |
| allfieldsSound |
10.1016/j.sna.2014.01.004 doi GBVA2014014000019.pica (DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 DE-627 ger DE-627 rakwb eng 530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Wang, G.F. verfasserin aut Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection 2014 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier Yang, Y.W. oth Zhang, Y.C. oth Xie, Q.L. oth Enthalten in Elsevier Science Antioxidant activity of propolis extracts from Serbia: A polarographic approach 2012 Amsterdam [u.a.] (DE-627)ELV01620638X volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 https://doi.org/10.1016/j.sna.2014.01.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 209 2014 1 0301 24-32 9 045F 530 |
| language |
English |
| source |
Enthalten in Antioxidant activity of propolis extracts from Serbia: A polarographic approach Amsterdam [u.a.] volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 |
| sourceStr |
Enthalten in Antioxidant activity of propolis extracts from Serbia: A polarographic approach Amsterdam [u.a.] volume:209 year:2014 day:1 month:03 pages:24-32 extent:9 |
| format_phy_str_mv |
Article |
| bklname |
Regenerative Energieformen alternative Energieformen |
| institution |
findex.gbv.de |
| topic_facet |
ν-SVM Dimension reduction Locality preserving projection Tool condition monitoring Nearest neighbor algorithm |
| dewey-raw |
530 |
| isfreeaccess_bool |
false |
| container_title |
Antioxidant activity of propolis extracts from Serbia: A polarographic approach |
| authorswithroles_txt_mv |
Wang, G.F. @@aut@@ Yang, Y.W. @@oth@@ Zhang, Y.C. @@oth@@ Xie, Q.L. @@oth@@ |
| publishDateDaySort_date |
2014-01-01T00:00:00Z |
| hierarchy_top_id |
ELV01620638X |
| dewey-sort |
3530 |
| id |
ELV034002626 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV034002626</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624002805.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sna.2014.01.004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014014000019.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV034002626</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0924-4247(14)00006-5</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">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">640</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, G.F.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ν-SVM</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Dimension reduction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Locality preserving projection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Tool condition monitoring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nearest neighbor algorithm</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Y.W.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Y.C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xie, Q.L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="t">Antioxidant activity of propolis extracts from Serbia: A polarographic approach</subfield><subfield code="d">2012</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV01620638X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:209</subfield><subfield code="g">year:2014</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:24-32</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sna.2014.01.004</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">209</subfield><subfield code="j">2014</subfield><subfield code="b">1</subfield><subfield code="c">0301</subfield><subfield code="h">24-32</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
| author |
Wang, G.F. |
| spellingShingle |
Wang, G.F. ddc 530 ddc 620 ddc 630 ddc 640 ddc 610 bkl 52.56 Elsevier ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| authorStr |
Wang, G.F. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV01620638X |
| format |
electronic Article |
| dewey-ones |
530 - Physics 620 - Engineering & allied operations 630 - Agriculture & related technologies 640 - Home & family management 610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm Elsevier |
| topic |
ddc 530 ddc 620 ddc 630 ddc 640 ddc 610 bkl 52.56 Elsevier ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm |
| topic_unstemmed |
ddc 530 ddc 620 ddc 630 ddc 640 ddc 610 bkl 52.56 Elsevier ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm |
| topic_browse |
ddc 530 ddc 620 ddc 630 ddc 640 ddc 610 bkl 52.56 Elsevier ν-SVM Elsevier Dimension reduction Elsevier Locality preserving projection Elsevier Tool condition monitoring Elsevier Nearest neighbor algorithm |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
y y yy y z yz q x qx |
| hierarchy_parent_title |
Antioxidant activity of propolis extracts from Serbia: A polarographic approach |
| hierarchy_parent_id |
ELV01620638X |
| dewey-tens |
530 - Physics 620 - Engineering 630 - Agriculture 640 - Home & family management 610 - Medicine & health |
| hierarchy_top_title |
Antioxidant activity of propolis extracts from Serbia: A polarographic approach |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV01620638X |
| title |
Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| ctrlnum |
(DE-627)ELV034002626 (ELSEVIER)S0924-4247(14)00006-5 |
| title_full |
Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| author_sort |
Wang, G.F. |
| journal |
Antioxidant activity of propolis extracts from Serbia: A polarographic approach |
| journalStr |
Antioxidant activity of propolis extracts from Serbia: A polarographic approach |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2014 |
| contenttype_str_mv |
zzz |
| container_start_page |
24 |
| author_browse |
Wang, G.F. |
| container_volume |
209 |
| physical |
9 |
| class |
530 620 530 DE-600 620 DE-600 630 VZ 640 VZ 610 VZ 530 620 VZ 52.56 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Wang, G.F. |
| doi_str_mv |
10.1016/j.sna.2014.01.004 |
| dewey-full |
530 620 630 640 610 |
| title_sort |
vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| title_auth |
Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| abstract |
• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. |
| abstractGer |
• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. |
| abstract_unstemmed |
• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection |
| url |
https://doi.org/10.1016/j.sna.2014.01.004 |
| remote_bool |
true |
| author2 |
Yang, Y.W. Zhang, Y.C. Xie, Q.L. |
| author2Str |
Yang, Y.W. Zhang, Y.C. Xie, Q.L. |
| ppnlink |
ELV01620638X |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1016/j.sna.2014.01.004 |
| up_date |
2024-07-06T20:01:11.759Z |
| _version_ |
1803861173740765184 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV034002626</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624002805.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sna.2014.01.004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014014000019.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV034002626</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0924-4247(14)00006-5</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">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">640</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, G.F.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Vibration sensor based ν-SVM is presented to realize tool condition monitoring. • The NN rule based algorithm is proposed to determine the value of ν. • LPP is utilized to realize dimension reduction of feature vectors. • The time consuming of NN based ν-SVM is far less than C-SVM with optimization.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ν-SVM</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Dimension reduction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Locality preserving projection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Tool condition monitoring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nearest neighbor algorithm</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Y.W.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Y.C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xie, Q.L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="t">Antioxidant activity of propolis extracts from Serbia: A polarographic approach</subfield><subfield code="d">2012</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV01620638X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:209</subfield><subfield code="g">year:2014</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:24-32</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sna.2014.01.004</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">209</subfield><subfield code="j">2014</subfield><subfield code="b">1</subfield><subfield code="c">0301</subfield><subfield code="h">24-32</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
| score |
7.401372 |