Structural health monitoring: a machine learning perspective
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Chichester, West Sussex, United Kingdom
Wiley
2013
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Schlagworte: | |
Online-Zugang: | FRO01 TUM01 UBY01 Volltext |
Beschreibung: | 1 Online-Ressource (xxii, 631 Seiten) Illustrationen, Diagramme |
ISBN: | 9781118443118 |
Internformat
MARC
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245 | 1 | 0 | |a Structural health monitoring |b a machine learning perspective |c Charles R. Farrar (Los Alamos National Laboratory, USA), Keith Worden (University of Sheffield, UK) |
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Datensatz im Suchindex
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any_adam_object | |
author | Farrar, Charles R. Worden, Keith |
author_facet | Farrar, Charles R. Worden, Keith |
author_role | aut aut |
author_sort | Farrar, Charles R. |
author_variant | c r f cr crf k w kw |
building | Verbundindex |
bvnumber | BV041467514 |
callnumber-first | T - Technology |
callnumber-label | TA656 |
callnumber-raw | TA656.6 .F37 2012 |
callnumber-search | TA656.6 .F37 2012 |
callnumber-sort | TA 3656.6 F37 42012 |
callnumber-subject | TA - General and Civil Engineering |
classification_rvk | ZM 3700 |
collection | ZDB-35-WIC ebook |
ctrlnum | (OCoLC)991570402 (DE-599)GBV737218215 |
dewey-full | 624.171 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 624 - Civil engineering |
dewey-raw | 624.171 |
dewey-search | 624.171 |
dewey-sort | 3624.171 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Bauingenieurwesen Werkstoffwissenschaften / Fertigungstechnik |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T00:57:25Z |
institution | BVB |
isbn | 9781118443118 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026913746 |
oclc_num | 991570402 |
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owner_facet | DE-83 DE-91 DE-BY-TUM DE-861 DE-706 |
physical | 1 Online-Ressource (xxii, 631 Seiten) Illustrationen, Diagramme |
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publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Wiley |
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spelling | Farrar, Charles R. Verfasser aut Structural health monitoring a machine learning perspective Charles R. Farrar (Los Alamos National Laboratory, USA), Keith Worden (University of Sheffield, UK) Chichester, West Sussex, United Kingdom Wiley 2013 1 Online-Ressource (xxii, 631 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Schadenfrüherkennung (DE-588)4179292-0 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Strukturmechanik (DE-588)4126904-4 gnd rswk-swf Strukturmechanik (DE-588)4126904-4 s Zustandsüberwachung (DE-588)4369492-5 s Schadenfrüherkennung (DE-588)4179292-0 s DE-604 Worden, Keith Verfasser aut Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-99433-6 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118443118 Verlag Volltext |
spellingShingle | Farrar, Charles R. Worden, Keith Structural health monitoring a machine learning perspective Schadenfrüherkennung (DE-588)4179292-0 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Strukturmechanik (DE-588)4126904-4 gnd |
subject_GND | (DE-588)4179292-0 (DE-588)4369492-5 (DE-588)4126904-4 |
title | Structural health monitoring a machine learning perspective |
title_auth | Structural health monitoring a machine learning perspective |
title_exact_search | Structural health monitoring a machine learning perspective |
title_full | Structural health monitoring a machine learning perspective Charles R. Farrar (Los Alamos National Laboratory, USA), Keith Worden (University of Sheffield, UK) |
title_fullStr | Structural health monitoring a machine learning perspective Charles R. Farrar (Los Alamos National Laboratory, USA), Keith Worden (University of Sheffield, UK) |
title_full_unstemmed | Structural health monitoring a machine learning perspective Charles R. Farrar (Los Alamos National Laboratory, USA), Keith Worden (University of Sheffield, UK) |
title_short | Structural health monitoring |
title_sort | structural health monitoring a machine learning perspective |
title_sub | a machine learning perspective |
topic | Schadenfrüherkennung (DE-588)4179292-0 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Strukturmechanik (DE-588)4126904-4 gnd |
topic_facet | Schadenfrüherkennung Zustandsüberwachung Strukturmechanik |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118443118 |
work_keys_str_mv | AT farrarcharlesr structuralhealthmonitoringamachinelearningperspective AT wordenkeith structuralhealthmonitoringamachinelearningperspective |