Template:Bibliography

From Sensorintegrierende Maschinenelemente

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  1. Kiziroglou, M. and E. Yeatman. Materials and techniques for energy harvesting. In: Functional Materials for Sustainable Energy Applications, 541–72. Elsevier.'https://doi.org/10.1533/9780857096371.4.539, 2012.
  2. Rupprecht, B., Sendlbeck, S., Vogel-Heuser, B., Brederlow, R., Knoll, E., & Stahl, K. (2023, August). Analysis of Acceleration Data Using Low-Power Embedded Devices to Detect Gear Faults. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.
  3. Rupprecht, B., Vogel-Heuser, B., & Neumann, E. M. (2023, July). Measurement Methods for Software Execution Time on Heterogeneous Edge Devices. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1-6). IEEE.
  4. Rupprecht, B., Hujo, D., & Vogel-Heuser, B. (2022, August). Performance evaluation of ai algorithms on heterogeneous edge devices for manufacturing. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (pp. 2132-2139). IEEE.
  5. Rupprecht, B., Vogel-Heuser B., Möhrle J., & Hujo D. (2024, May). Sparse Measurement Algorithm Execution Time Prediction on Heterogeneous Edge Devices for Early Stage Software-Hardware Matching. In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS) IEEE.
  6. Quanz, M., Gansel, R., Barton, S., Lohrengel, A. (2023). Energy Harvesting in rotierenden Maschinenelementen. In Mitteilungen aus dem Institut für Maschinenwesen der Technischen Universität Clausthal Nr. 48.
  7. Kirchner, E., Wallmersperger, T., Gwosch, T., Menning, J. D., Peters, J., Breimann, R., ... & Stahl, K. (2024). A Review on Sensor‐Integrating Machine Elements. Advanced Sensor Research, 3(4), 2300113.
  8. Welzbacher, P., Schulte, F., Neu, M., Koch, Y., & Kirchner, E. (2021). An approach for the quantitative description of uncertainty to support robust design in sensing technology. Design Science, 7, e18.