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.

  1. 2019
  2. 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 contributionsJournal articlesResearchpeer-review

  3. 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/worksPublished abstract in conference proceedingsResearchpeer-review

  4. 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 contributionsConference article in journalResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. 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/worksArticle in conference proceedingsResearchpeer-review

  7. 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/worksArticle in conference proceedingsResearchpeer-review

  8. 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/worksArticle in conference proceedingsResearchpeer-review

  9. 2020
  10. 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 contributionsConference article in journalResearchpeer-review

  11. 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 contributionsConference article in journalResearchpeer-review

  12. 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 contributionsConference article in journalResearchpeer-review

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