AI for status monitoring of utility scale batteries:
Gespeichert in:
| Beteiligte Personen: | , , , , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
London ; Stevenage
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | IET energy engineering series
238 |
| Schlagwörter: | |
| Umfang: | xx, 473 Seiten |
| ISBN: | 9781839537387 |
Internformat
MARC
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|---|---|---|---|
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| 003 | DE-604 | ||
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| 020 | |a 9781839537387 |9 978-1-83953-738-7 | ||
| 035 | |a (OCoLC)1401178985 | ||
| 035 | |a (DE-599)BVBBV049093306 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 | ||
| 084 | |a ZN 8730 |0 (DE-625)157644: |2 rvk | ||
| 100 | 1 | |a Wang, Shunli |d 1973- |e Verfasser |0 (DE-588)17176515X |4 aut | |
| 245 | 1 | 0 | |a AI for status monitoring of utility scale batteries |c Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero |
| 264 | 1 | |a London ; Stevenage |b The Institution of Engineering and Technology |c 2022 | |
| 300 | |a xx, 473 Seiten | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a IET energy engineering series |v 238 | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Batterie |0 (DE-588)4004687-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Zustandsüberwachung |0 (DE-588)4369492-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Diagnosesystem |0 (DE-588)4149458-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Batterie |0 (DE-588)4004687-4 |D s |
| 689 | 0 | 1 | |a Zustandsüberwachung |0 (DE-588)4369492-5 |D s |
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| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Liu, Kailong |e Verfasser |4 aut | |
| 700 | 1 | |a Wang, Yujie |e Verfasser |4 aut | |
| 700 | 1 | |a Stroe, Daniel-Ioan |e Verfasser |4 aut | |
| 700 | 1 | |a Fernandez, Carlos |e Verfasser |4 aut | |
| 700 | 1 | |a Guerrero, Josep M. |e Verfasser |0 (DE-588)1225427533 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-83953-739-4 |
| 830 | 0 | |a IET energy engineering series |v 238 |w (DE-604)BV047218775 |9 238 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034354983 | |
Datensatz im Suchindex
| _version_ | 1818990831787311104 |
|---|---|
| any_adam_object | |
| author | Wang, Shunli 1973- Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. |
| author_GND | (DE-588)17176515X (DE-588)1225427533 |
| author_facet | Wang, Shunli 1973- Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. |
| author_role | aut aut aut aut aut aut |
| author_sort | Wang, Shunli 1973- |
| author_variant | s w sw k l kl y w yw d i s dis c f cf j m g jm jmg |
| building | Verbundindex |
| bvnumber | BV049093306 |
| classification_rvk | ZN 8730 |
| ctrlnum | (OCoLC)1401178985 (DE-599)BVBBV049093306 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV049093306 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T20:00:38Z |
| institution | BVB |
| isbn | 9781839537387 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034354983 |
| oclc_num | 1401178985 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xx, 473 Seiten |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series | IET energy engineering series |
| series2 | IET energy engineering series |
| spelling | Wang, Shunli 1973- Verfasser (DE-588)17176515X aut AI for status monitoring of utility scale batteries Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero London ; Stevenage The Institution of Engineering and Technology 2022 xx, 473 Seiten txt rdacontent n rdamedia nc rdacarrier IET energy engineering series 238 Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Batterie (DE-588)4004687-4 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Diagnosesystem (DE-588)4149458-1 gnd rswk-swf Batterie (DE-588)4004687-4 s Zustandsüberwachung (DE-588)4369492-5 s Diagnosesystem (DE-588)4149458-1 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Liu, Kailong Verfasser aut Wang, Yujie Verfasser aut Stroe, Daniel-Ioan Verfasser aut Fernandez, Carlos Verfasser aut Guerrero, Josep M. Verfasser (DE-588)1225427533 aut Erscheint auch als Online-Ausgabe 978-1-83953-739-4 IET energy engineering series 238 (DE-604)BV047218775 238 |
| spellingShingle | Wang, Shunli 1973- Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. AI for status monitoring of utility scale batteries IET energy engineering series Maschinelles Lernen (DE-588)4193754-5 gnd Batterie (DE-588)4004687-4 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Diagnosesystem (DE-588)4149458-1 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4004687-4 (DE-588)4369492-5 (DE-588)4149458-1 |
| title | AI for status monitoring of utility scale batteries |
| title_auth | AI for status monitoring of utility scale batteries |
| title_exact_search | AI for status monitoring of utility scale batteries |
| title_full | AI for status monitoring of utility scale batteries Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero |
| title_fullStr | AI for status monitoring of utility scale batteries Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero |
| title_full_unstemmed | AI for status monitoring of utility scale batteries Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero |
| title_short | AI for status monitoring of utility scale batteries |
| title_sort | ai for status monitoring of utility scale batteries |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Batterie (DE-588)4004687-4 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Diagnosesystem (DE-588)4149458-1 gnd |
| topic_facet | Maschinelles Lernen Batterie Zustandsüberwachung Diagnosesystem |
| volume_link | (DE-604)BV047218775 |
| work_keys_str_mv | AT wangshunli aiforstatusmonitoringofutilityscalebatteries AT liukailong aiforstatusmonitoringofutilityscalebatteries AT wangyujie aiforstatusmonitoringofutilityscalebatteries AT stroedanielioan aiforstatusmonitoringofutilityscalebatteries AT fernandezcarlos aiforstatusmonitoringofutilityscalebatteries AT guerrerojosepm aiforstatusmonitoringofutilityscalebatteries |