Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Byun, Y., Maeng, D., & Baek, J.-G. (2025). Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals. International Journal of Production Research, 63(10), 3733-3759. https://doi.org/10.1080/00207543.2024.2427895

ISO-690 (author-date, English)

BYUN, Yunseon, MAENG, Daeju und BAEK, Jun-Geol, 2025. Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals. International Journal of Production Research. 15 Mai 2025. Vol. 63, no. 10, p. 3733-3759. DOI 10.1080/00207543.2024.2427895.

Modern Language Association 9th edition

Byun, Y., D. Maeng, und J.-G. Baek. „Unsupervised Fault Detection Using Frequency-Wise Angular Filtering in Contaminated Vibration Signals.“. International Journal of Production Research, Bd. 63, Nr. 10, Mai 2025, S. 3733-59, https://doi.org/10.1080/00207543.2024.2427895.

Mohr Siebeck - Recht (Deutsch - Österreich)

Byun, Yunseon/Maeng, Daeju/Baek, Jun-Geol: Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals., International Journal of Production Research 2025, 3733-3759.

Emerald - Harvard

Byun, Y., Maeng, D. und Baek, J.-G. (2025), „Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals.“, International Journal of Production Research, Vol. 63 No. 10, S. 3733-3759.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.