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 Online-Ressource | |
| Verfasst von: | Salon, Data [VerfasserIn]  |
| Titel: | IoT and Analytics Condition Based Maintenance |
| Institutionen: | Safari, an O’Reilly Media Company. [MitwirkendeR] |
| Verf.angabe: | Salon, Data |
| Ausgabe: | 1st edition |
| Verlagsort: | [Erscheinungsort nicht ermittelbar] |
| Verlag: | Data Science Salon |
| Jahr: | 2020 |
| Umfang: | 1 online resource (1 video file, approximately 31 min.) |
| Fussnoten: | Online resource; Title from title screen (viewed March 24, 2020) |
| Abstract: | Presented by Stanislaw Schmal Combining IoT and sensor analytics opens a new world of operations and maintenance efficiency. A real-world demonstrator of audio analytics and customized IoT device will be shown and its business application to condition based maintenance will be discussed in this session. |
| ComputerInfo: | Mode of access: World Wide Web. |
| URL: | Aggregator: https://learning.oreilly.com/library/view/-/00009PT54WVQIEY/?ar |
| Datenträger: | Online-Ressource |
| Sprache: | eng |
| Sach-SW: | Electronic videos ; local |
| K10plus-PPN: | 1733129715 |
| Lokale URL UB: |  Zum Volltext |
| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg | |
 Bestellen/Vormerken für Benutzer des Klinikums MannheimEigene Kennung erforderlich | |
| Bibliothek/Idn: | UW / m3755945525 |
| Lokale URL Inst.: | Zum Volltext |
