Self-learning condition monitoring for smart electrohydraulic drives:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Düren
Shaker Verlag
2020
|
| Schriftenreihe: | Fluidmechatronische Systeme
|
| Schlagworte: | |
| Beschreibung: | 179 Seiten Illustrationen, Diagramme |
| ISBN: | 9783844073836 3844073833 |
Internformat
MARC
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| 245 | 1 | 0 | |a Self-learning condition monitoring for smart electrohydraulic drives |c Emad Ali |
| 264 | 1 | |a Düren |b Shaker Verlag |c 2020 | |
| 300 | |a 179 Seiten |b Illustrationen, Diagramme | ||
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| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Fluidmechatronische Systeme | |
| 502 | |b Dissertation |c Technische Universität Dresden |d 2019 | ||
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| 650 | 0 | 7 | |a Fehlererkennung |0 (DE-588)4133764-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ausfallwahrscheinlichkeit |0 (DE-588)4122848-0 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
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| author | Ali, Emad 1976- |
| author_GND | (DE-588)1213270510 |
| author_facet | Ali, Emad 1976- |
| author_role | aut |
| author_sort | Ali, Emad 1976- |
| author_variant | e a ea |
| building | Verbundindex |
| bvnumber | BV047123316 |
| classification_rvk | ZN 8285 |
| ctrlnum | (OCoLC)1194941490 (DE-599)BVBBV047123316 |
| dewey-full | 620.004 621.26 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations 621 - Applied physics |
| dewey-raw | 620.004 621.26 |
| dewey-search | 620.004 621.26 |
| dewey-sort | 3620.004 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Thesis Book |
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| id | DE-604.BV047123316 |
| illustrated | Illustrated |
| index_date | 2024-07-03T16:30:04Z |
| indexdate | 2024-07-10T09:03:16Z |
| institution | BVB |
| isbn | 9783844073836 3844073833 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032529575 |
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| owner_facet | DE-83 |
| physical | 179 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Shaker Verlag |
| record_format | marc |
| series2 | Fluidmechatronische Systeme |
| spelling | Ali, Emad 1976- Verfasser (DE-588)1213270510 aut Self-learning condition monitoring for smart electrohydraulic drives Emad Ali Düren Shaker Verlag 2020 179 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Fluidmechatronische Systeme Dissertation Technische Universität Dresden 2019 Betriebsverhalten (DE-588)4138142-7 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Verschleiß (DE-588)4063153-9 gnd rswk-swf Elektrohydraulischer Antrieb (DE-588)4212298-3 gnd rswk-swf Lernendes System (DE-588)4120666-6 gnd rswk-swf Fehlererkennung (DE-588)4133764-5 gnd rswk-swf Ausfallwahrscheinlichkeit (DE-588)4122848-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Elektrohydraulischer Antrieb (DE-588)4212298-3 s Betriebsverhalten (DE-588)4138142-7 s Ausfallwahrscheinlichkeit (DE-588)4122848-0 s Verschleiß (DE-588)4063153-9 s Fehlererkennung (DE-588)4133764-5 s Zustandsüberwachung (DE-588)4369492-5 s Lernendes System (DE-588)4120666-6 s DE-604 Dresden (DE-588)4012995-0 gnd uvp |
| spellingShingle | Ali, Emad 1976- Self-learning condition monitoring for smart electrohydraulic drives Betriebsverhalten (DE-588)4138142-7 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Verschleiß (DE-588)4063153-9 gnd Elektrohydraulischer Antrieb (DE-588)4212298-3 gnd Lernendes System (DE-588)4120666-6 gnd Fehlererkennung (DE-588)4133764-5 gnd Ausfallwahrscheinlichkeit (DE-588)4122848-0 gnd |
| subject_GND | (DE-588)4138142-7 (DE-588)4369492-5 (DE-588)4063153-9 (DE-588)4212298-3 (DE-588)4120666-6 (DE-588)4133764-5 (DE-588)4122848-0 (DE-588)4113937-9 |
| title | Self-learning condition monitoring for smart electrohydraulic drives |
| title_auth | Self-learning condition monitoring for smart electrohydraulic drives |
| title_exact_search | Self-learning condition monitoring for smart electrohydraulic drives |
| title_exact_search_txtP | Self-learning condition monitoring for smart electrohydraulic drives |
| title_full | Self-learning condition monitoring for smart electrohydraulic drives Emad Ali |
| title_fullStr | Self-learning condition monitoring for smart electrohydraulic drives Emad Ali |
| title_full_unstemmed | Self-learning condition monitoring for smart electrohydraulic drives Emad Ali |
| title_short | Self-learning condition monitoring for smart electrohydraulic drives |
| title_sort | self learning condition monitoring for smart electrohydraulic drives |
| topic | Betriebsverhalten (DE-588)4138142-7 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Verschleiß (DE-588)4063153-9 gnd Elektrohydraulischer Antrieb (DE-588)4212298-3 gnd Lernendes System (DE-588)4120666-6 gnd Fehlererkennung (DE-588)4133764-5 gnd Ausfallwahrscheinlichkeit (DE-588)4122848-0 gnd |
| topic_facet | Betriebsverhalten Zustandsüberwachung Verschleiß Elektrohydraulischer Antrieb Lernendes System Fehlererkennung Ausfallwahrscheinlichkeit Hochschulschrift |
| work_keys_str_mv | AT aliemad selflearningconditionmonitoringforsmartelectrohydraulicdrives |