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
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
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
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
MES-Betriebsmittelintegration aus Anwendersicht: Eine praxisbezogene Analyse in produzierenden Unternehmen am Beispiel eines Laser-Assistenzsystems
Müller-Polyzou, R., Meyer, L. & Georgiadis, A., 01.2019, In: Industrie 4.0 Management. 35, 1, p. 31-34 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 2018
- Published
Determination of bearing clearance by the application of neural networks
Meier, N., Biyani, Y. & Georgiadis, A., 26.12.2018, 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings: 2018 Confernce Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1620-1623 4 p. 8589587. (Proceedings of IEEE Sensors; vol. 2018-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
An on-line orthogonal wavelet denoising algorithm for high-resolution surface scans
Schimmack, M. & Mercorelli, P., 12.2018, In: Journal of the Franklin Institute. 355, 18, p. 9245-9270 26 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Vibration analysis based on the spectrum kurtosis for adjustment and monitoring of ball bearing radial clearance
Georgiadis, A., Gong, X. & Meier, N., 10.10.2018, In: MATEC Web of Conferences. 211, 6 p., 06006.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Analysis of brittle layer forming mechanism in Ti6Al4V sloping structures by SLM technology
Xiao, Z., Chen, Y., Georgiadis, A., Liu, J., Zhou, X. & Zhang, Z., 01.09.2018, In: The International Journal of Advanced Manufacturing Technology. 98, 5-8, p. 1783 - 1789 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Parameterized Synthetic Image Data Set for Fisheye Lens
Zhen, C. & Georgiadis, A., 02.07.2018, Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018. Cheng, Y., Li, S. & Dai, Y. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 370-374 5 p. 8612582Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Control of the inverse pendulum based on sliding mode and model predictive control
Schwab, K. C., Schräder, L., Mercorelli, P. & Lassen, J. T., 01.01.2018, In: WSEAS Transactions on Systems and Control. 13, p. 529-536 8 p., 60.Research output: Journal contributions › Journal articles › Research › peer-review