Publikationen
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Caceres-Castellanos, C., Kortmann, K-P., & Fehsenfeld, M. J. (2023). Condition Monitoring using Domain-Adversarial Networks with Convolutional Kernel Features. 7746-7752. Beitrag in IFAC World Congress 2023, Yokohama, Japan. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.1180
Fehsenfeld, M., Kühn, J., & Kortmann, K-P. (2023). Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) IEEE. https://doi.org/10.1109/isie51358.2023.10228157
Fehsenfeld, M., Kühn, J., & Kortmann, K-P. (2023). Multi-Source Domain Adaptation for Fault Diagnosis of Belt Drives. IFAC-PapersOnLine, 56(2), 11305-11310. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.411
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H-G. (2022). Comparison of Different Excitation Strategies for Fault Diagnosis of Belt Drives: Industrial Application Scenarios. In G. Gini, H. Nijmeijer, W. Burgard, & D. P. Filev (Hrsg.), Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics (S. 177-184) https://doi.org/10.5220/0011274100003271
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H-G. (2022). Multisine Input Design for Active Data-Driven Fault Diagnosis of Belt Drives. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (S. 480-485). (IEEE International Symposium on Industrial Electronics; Band 2022-June). https://doi.org/10.1109/isie51582.2022.9831682
Fehsenfeld, M., Kühn, J., Wielitzka, M., & Ortmaier, T. (2021). Tension Monitoring of Toothed Belt Drives Using Interval-Based Spectral Features. IFAC-PapersOnLine, 53(2), 738-743. https://doi.org/10.1016/j.ifacol.2020.12.824
Kortmann, K-P., Fehsenfeld, M., & Wielitzka, M. (2021). Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. Vorabveröffentlichung online. https://arxiv.org/abs/2104.02784
Kortmann, K-P., Fehsenfeld, M. J., & Wielitzka, M. (2021). Featureextraktion aus heterogenen multivariaten Zeitreihendaten mechatronischer Systeme mittels Autoencoder-Netzwerken. In Digital‐Fachtagung VDI MECHATRONIK 2021 (S. 74-79). https://doi.org/10.26083/tuprints-00017626