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doi:10.22028/D291-46082 | Title: | Combination of generic novelty detection and supervised classification pipelines for industrial condition monitoring |
| Author(s): | Klein, Steffen Wilhelm, Yannick Schütze, Andreas Schneider, Tizian |
| Language: | English |
| Title: | Technisches Messen : tm |
| Volume: | 91 |
| Issue: | 9 |
| Pages: | 454-465 |
| Publisher/Platform: | De Gruyter |
| Year of Publication: | 2024 |
| Free key words: | condition monitoring machine learning novelty detection Zustandsüberwachung Maschinelles Lernen Anomaliedetektion |
| DDC notations: | 500 Science |
| Publikation type: | Journal Article |
| DOI of the first publication: | 10.1515/teme-2024-0016 |
| URL of the first publication: | https://doi.org/10.1515/teme-2024-0016 |
| Link to this record: | urn:nbn:de:bsz:291--ds-460826 hdl:20.500.11880/40420 http://dx.doi.org/10.22028/D291-46082 |
| ISSN: | 2196-7113 |
| Date of registration: | 26-Aug-2025 |
| Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
| Department: | NT - Systems Engineering |
| Professorship: | NT - Prof. Dr. Andreas Schütze |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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