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84 Publications
2021 | Journal Article | LibreCat-ID: 25046 | 
Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article 210. https://doi.org/10.3390/machines9100210
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2021 | Conference Paper | LibreCat-ID: 24280
Gräßler, I., & Wiechel, D. (2021). Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements. In D. Krause, K. Paetzold, & S. Wartzack (Eds.), DS 111: Proceedings of the 32nd Symposium Design for X. https://doi.org/10.35199/dfx2021.12
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2021 | Conference Paper | LibreCat-ID: 24080 |
Gräßler, I., Wiechel, D., Roesmann, D., & Thiele, H. (2021). V-model based development of cyber-physical systems and cyber-physical production systems. Procedia CIRP, 253–258. https://doi.org/10.1016/j.procir.2021.05.119
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2021 | Conference Paper | LibreCat-ID: 22724 |
Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843
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2021 | Conference Paper | LibreCat-ID: 27111 |
Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, & O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042
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2020 | Conference Paper | LibreCat-ID: 19606 |
Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). ProConAR: A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_14
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2020 | Book Chapter | LibreCat-ID: 21542
Schröder, D., Lange, S., Hangmann, C., & Hedayat, C. (2020). Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis (1st ed., pp. 315-346 (32)). Croyton, UK: The Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbcs072e_ch14
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2020 | Conference Paper | LibreCat-ID: 16933 |
Gottschalk, S., Rittmeier, F., & Engels, G. (2020). Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In Proceedings of the 22nd IEEE International Conference on Business Informatics. Antwerp: IEEE. https://doi.org/10.1109/CBI49978.2020.00022
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2020 | Conference Paper | LibreCat-ID: 16934 |
Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18
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2020 | Journal Article | LibreCat-ID: 20143 |
Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015
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