Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals
Yunseon Byun, Daeju Maeng and Jun-Geol Baek
| Year of publication: |
2025
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|---|---|
| Authors: | Byun, Yunseon ; Maeng, Daeju ; Baek, Jun-Geol |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 63.2025, 10, p. 3733-3759
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| Subject: | condition monitoring based on artificial intelligence | contaminated data filtering | frequency-wise angular features | innovation and infrastructure | multivariate vibration signals | Unsupervised fault detection | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Innovation | Signalling |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2024.2427895 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015445266