Control Charts and Machine Learning for Anomaly Detection in Manufacturing:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2022]
|
| Ausgabe: | 1st ed. 2022 |
| Schriftenreihe: | Springer Series in Reliability Engineering
|
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-1043 DE-1046 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-706 DE-29 Volltext |
| Beschreibung: | 1 Online-Ressource (VI, 269 Seiten) |
| ISBN: | 9783030838195 |
| ISSN: | 2196-999X |
| DOI: | 10.1007/978-3-030-83819-5 |
Internformat
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| dewey-ones | 670 - Manufacturing |
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| dewey-search | 670 |
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| dewey-tens | 670 - Manufacturing |
| discipline | Elektrotechnik Werkstoffwissenschaften / Fertigungstechnik Maschinenbau |
| discipline_str_mv | Elektrotechnik Werkstoffwissenschaften / Fertigungstechnik Maschinenbau |
| doi_str_mv | 10.1007/978-3-030-83819-5 |
| edition | 1st ed. 2022 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:09:28Z |
| indexdate | 2025-03-15T04:01:14Z |
| institution | BVB |
| isbn | 9783030838195 |
| issn | 2196-999X |
| language | English |
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| physical | 1 Online-Ressource (VI, 269 Seiten) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer Series in Reliability Engineering |
| spellingShingle | Control Charts and Machine Learning for Anomaly Detection in Manufacturing Machines, Tools, Processes Industrial Management Machine Learning Applied Statistics Cyber-Physical Systems Manufactures Machine learning Statistics Cooperating objects (Computer systems) |
| title | Control Charts and Machine Learning for Anomaly Detection in Manufacturing |
| title_auth | Control Charts and Machine Learning for Anomaly Detection in Manufacturing |
| title_exact_search | Control Charts and Machine Learning for Anomaly Detection in Manufacturing |
| title_exact_search_txtP | Control Charts and Machine Learning for Anomaly Detection in Manufacturing |
| title_full | Control Charts and Machine Learning for Anomaly Detection in Manufacturing Kim Phuc Tran ; Editor |
| title_fullStr | Control Charts and Machine Learning for Anomaly Detection in Manufacturing Kim Phuc Tran ; Editor |
| title_full_unstemmed | Control Charts and Machine Learning for Anomaly Detection in Manufacturing Kim Phuc Tran ; Editor |
| title_short | Control Charts and Machine Learning for Anomaly Detection in Manufacturing |
| title_sort | control charts and machine learning for anomaly detection in manufacturing |
| topic | Machines, Tools, Processes Industrial Management Machine Learning Applied Statistics Cyber-Physical Systems Manufactures Machine learning Statistics Cooperating objects (Computer systems) |
| topic_facet | Machines, Tools, Processes Industrial Management Machine Learning Applied Statistics Cyber-Physical Systems Manufactures Machine learning Statistics Cooperating objects (Computer systems) |
| url | https://doi.org/10.1007/978-3-030-83819-5 |
| work_keys_str_mv | AT kimphuctran controlchartsandmachinelearningforanomalydetectioninmanufacturing |