AI for status monitoring of utility scale batteries:
Gespeichert in:
| Beteiligte Personen: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Stevenage, Herts, United Kingdom
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | IET energy engineering series
238 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1049/PBPO238E https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=30294627 https://doi.org/10.1049/PBPO238E https://doi.org/10.1049/PBPO238E |
| Umfang: | 1 Online-Ressource (495 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781839537394 |
| DOI: | 10.1049/PBPO238E |
Internformat
MARC
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Datensatz im Suchindex
| DE-BY-TUM_katkey | 2705978 |
|---|---|
| _version_ | 1821936533116026880 |
| any_adam_object | |
| author | Wang, Shunli Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. |
| author_GND | (DE-588)1225427533 |
| author_facet | Wang, Shunli Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. |
| author_role | aut aut aut aut aut aut |
| author_sort | Wang, Shunli |
| 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 | BV048609694 |
| classification_rvk | ZN 8730 |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1049/PBPO238E |
| format | Electronic eBook |
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| id | DE-604.BV048609694 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:49:56Z |
| institution | BVB |
| isbn | 9781839537394 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033985080 |
| oclc_num | 1355312045 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-706 |
| owner_facet | DE-91 DE-BY-TUM DE-706 |
| physical | 1 Online-Ressource (495 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-100-IET ZDB-30-PQE ZDB-100-IET TUM_Paketkauf_2022 ZDB-30-PQE TUM_PDA_PQE_Kauf_2024 |
| 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 |
| spellingShingle | Wang, Shunli Liu, Kailong Wang, Yujie Stroe, Daniel-Ioan Fernandez, Carlos Guerrero, Josep M. AI for status monitoring of utility scale batteries IET energy engineering series Diagnosesystem (DE-588)4149458-1 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Batterie (DE-588)4004687-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4149458-1 (DE-588)4369492-5 (DE-588)4004687-4 (DE-588)4193754-5 |
| 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 | Diagnosesystem (DE-588)4149458-1 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Batterie (DE-588)4004687-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Diagnosesystem Zustandsüberwachung Batterie Maschinelles Lernen |
| url | https://doi.org/10.1049/PBPO238E |
| volume_link | (DE-604)BV045297603 |
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