Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Ettler, Pavel | |
| dc.contributor.author | Puchr, Ivan | |
| dc.date.accessioned | 2023-01-02T11:00:10Z | - |
| dc.date.available | 2023-01-02T11:00:10Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | ETTLER, P. PUCHR, I. Specific Data Sampling and Filtering Helps to Detect and Isolate Periodic Disturbances. In Proceedings of the 30th Mediterranean Conference on Control and Automation (MED 2022). Vouliagmeni, Greece: IEEE, 2022. s. 755-760. ISBN: 978-1-66540-673-4 , ISSN: neuvedeno | cs |
| dc.identifier.isbn | 978-1-66540-673-4 | |
| dc.identifier.issn | neuvedeno | |
| dc.identifier.uri | 2-s2.0-85136250945 | |
| dc.identifier.uri | http://hdl.handle.net/11025/50801 | |
| dc.format | 6 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartofseries | Proceedings of the 30th Mediterranean Conference on Control and Automation (MED 2022) | en |
| dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. | cs |
| dc.rights | © IEEE | en |
| dc.title | Specific Data Sampling and Filtering Helps to Detect and Isolate Periodic Disturbances | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.rights.access | restrictedAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | The Fast Fourier Transform is the unique tool enabling to engage the frequency domain analysis in detection and isolation of periodic disturbances in industrial processes containing rotating elements. Nevertheless, there exist particular problems where the time-domain examination of oscillations can provide equally or more accurate results with less effort. Specific data sampling, filtering and process modelling are introduced in the paper with the aim to classify sources of oscillations in the process of cold rolling. Although the FFT may not be part of the method itself, its use allows to illustrate the presented research. | en |
| dc.subject.translated | digital filtering | en |
| dc.subject.translated | Fault detection and isolation | en |
| dc.subject.translated | FFT | en |
| dc.subject.translated | modelling | en |
| dc.subject.translated | predictive maintenance | en |
| dc.subject.translated | rolling mills | en |
| dc.identifier.doi | 10.1109/MED54222.2022.9837226 | |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.obd | 43936813 | |
| dc.project.ID | EF17_048/0007267/InteCom: VaV inteligentních komponent pokročilých technologií pro plzeňskou metropolitní oblast | cs |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference papers (NTIS) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| article_MED2022_EtPu.pdf | 1,28 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
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