Professorship for Process Measurement Technology and Intelligent Systems
Organisational unit: Section
Topics
Die Professur für Prozessmesstechnik/Intelligente Systeme beschäftigt sich mit Automatisierungstechnologien, Methoden und Systeme zur Erhöhung der Lebensqualität (Lebensmittel, Atemluft, Medizin) und der Sicherheit (Automobil, Feuerschutz), Messmethoden und Techniken, Sensoren (auch auf Basis von Nanofaser), Multisensorsysteme und entsprechende Mikrosysteme, davon intelligente Anwendungen in der Produktion (Innovative Bearbeitungsmethoden), Prozessüberwachung zur fehlerfreien Produktion ("zero defect manufacturing") sowie Röntgennachweissysteme zur Grundlagenforschung in QED.
- 2019
- Published
Sliding mode and model predictive control for inverse pendulum
Schwab, K. C., Schräder, L., Mercorelli, P. & Lassen, J. T., 01.01.2019, In: WSEAS Transactions on Systems and Control. 14, p. 190-195 6 p., 23.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Predictive Maintenance of Bearings Through IoT and Cloud-Based Systems
Meier, N., Georgiadis, A. & Sanchez, A., 03.2019, Proceedings of the 2019 International Conference on Industrial Engineering: A Regional Conference of Society for Industrial and Systems Engineering. Cordova, X., Garcia, G., Camacho, C., Vernaza, E., Fernandez, J. & Subramanian, A. (eds.). Quito, Ecuador: Society for Industrial and Systems Engineering, p. 23 1 p.Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- Published
Intelligent software system for replacing a force sensor in the case of clearance measurement
Meier, N., Papadoudis, J. & Georgiadis, A., 13.03.2019, In: Procedia CIRP. 79, p. 517-522 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
SPS steuern Assistenzsysteme in der Digitalen Fabrik: Integration eines Laser-Assistenzsystems zur Werkerführung in die Steuerungsebene der Digitalen Fabrik
Müller-Polyzou, R., Meier, N., Berwanger, F. & Georgiadis, A., 13.08.2019, In: Industrie 4.0 Management. 35, 4, p. 13-16 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
Chen, Z. & Georgiadis, A., 11.2019, 2019 4th International Conference on Robotics and Automation Engineering (ICRAE 2019): November 22-24, 2019, Singapore . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 125-129 5 p. 9043800. (International Conference on Robotics and Automation Engineering, ICRAE ; vol. 4).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches
Meier, N., Georgiadis, A., Ambrożkiewicz, B. & Litak, G., 11.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956597. (Proceedings of IEEE Sensors; vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Recurrence-based diagnostics of rotary systems
Meier, N. & Georgiadis, A., 19.12.2019, IOP Conference Series: Materials Science and Engineering. 1 ed. Bristol: IOP Publishing Ltd, Vol. 710. 8 p. 012014. ( IOP Conference Series: Materials Science and Engineering; vol. 710, no. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2020
- Published
Case study analysis of laser-assisted Low-Cost Automation assembly
Müller-Polyzou, R., Meier, N. & Georgiadis, A., 2020, In: IFAC-PapersOnLine. 53, 2, p. 10403-10410 8 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Prediction of the tool change point in a polishing process using a modular software framework
Meier, N., Papadoudis, J. & Georgiadis, A., 2020, In: Procedia CIRP. 88, p. 341-345 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Second-order SMC with disturbance compensation for robust tracking control in PMSM applications
Aschemann, H., Haus, B. & Mercorelli, P., 2020, In: IFAC-PapersOnLine. 53, 2, p. 6225-6231 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review