Unsupervised process monitoring and fault diagnosis with machine learning methods:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2013
|
| Schriftenreihe: | Advances in computer vision and pattern recognition
|
| Online-Zugang: | BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781447151845 9781447151852 |
| DOI: | 10.1007/978-1-4471-5185-2 |
Internformat
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Datensatz im Suchindex
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| any_adam_object | |
| author | Aldrich, Chris Auret, Lidia |
| author_facet | Aldrich, Chris Auret, Lidia |
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| author_sort | Aldrich, Chris |
| author_variant | c a ca l a la |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4471-5185-2 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:41:52Z |
| institution | BVB |
| isbn | 9781447151845 9781447151852 |
| language | English |
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| publisher | Springer |
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| series2 | Advances in computer vision and pattern recognition |
| spelling | Aldrich, Chris Verfasser aut Unsupervised process monitoring and fault diagnosis with machine learning methods Chris Aldrich ; Lidia Auret London [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Advances in computer vision and pattern recognition Auret, Lidia Verfasser aut https://doi.org/10.1007/978-1-4471-5185-2 Verlag Volltext |
| spellingShingle | Aldrich, Chris Auret, Lidia Unsupervised process monitoring and fault diagnosis with machine learning methods |
| title | Unsupervised process monitoring and fault diagnosis with machine learning methods |
| title_auth | Unsupervised process monitoring and fault diagnosis with machine learning methods |
| title_exact_search | Unsupervised process monitoring and fault diagnosis with machine learning methods |
| title_full | Unsupervised process monitoring and fault diagnosis with machine learning methods Chris Aldrich ; Lidia Auret |
| title_fullStr | Unsupervised process monitoring and fault diagnosis with machine learning methods Chris Aldrich ; Lidia Auret |
| title_full_unstemmed | Unsupervised process monitoring and fault diagnosis with machine learning methods Chris Aldrich ; Lidia Auret |
| title_short | Unsupervised process monitoring and fault diagnosis with machine learning methods |
| title_sort | unsupervised process monitoring and fault diagnosis with machine learning methods |
| url | https://doi.org/10.1007/978-1-4471-5185-2 |
| work_keys_str_mv | AT aldrichchris unsupervisedprocessmonitoringandfaultdiagnosiswithmachinelearningmethods AT auretlidia unsupervisedprocessmonitoringandfaultdiagnosiswithmachinelearningmethods |